Senior AI Engineer Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Jun 20, 2026
Seasonal
Senior AI Engineer Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Jun 20, 2026
Full time
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
AI ENGINEERING LEAD Highly competitive salary Hybrid working model with client-facing project exposure Office in Manchester city centre Leadership opportunity within a rapidly growing AI capability KEY POINTS Senior AI Engineering leadership role with hands-on delivery Opportunity to shape engineering standards and AI strategy Client-facing position with strong stakeholder engagement Modern AI stack including Azure AI, Databricks, MLOps, and LLM technologies ABOUT THE CLIENT We're supporting a well-established, technology-focused consultancy that is continuing to invest heavily in its AI and data capability. With a strong focus on innovation, engineering quality, and responsible AI delivery, they are looking to appoint an experienced AI Engineering Lead to help shape and scale their growing function. THE ROLE: You'll take ownership of leading and developing a high-performing AI engineering function, helping shape technical standards, delivery quality, and engineering best practices across multiple projects. This role offers a blend of strategic leadership, client engagement, and hands-on technical delivery. You'll work closely with senior stakeholders, architects, and engineering teams to design and deploy scalable AI solutions into production environments. You'll also play a key role in mentoring engineers, driving capability development, and evaluating emerging technologies across AI, machine learning, and LLM ecosystems. Alongside this, you'll support workshops, solution design sessions, and technical decision-making while ensuring solutions remain scalable, secure, and aligned to business outcomes. THE BENEFITS Opportunity to work on cutting-edge AI and machine learning projects Exposure to modern AI tooling, cloud platforms, and agentic technologies Leadership role with clear progression opportunities Collaborative environment with strong focus on learning and innovation AI ENGINEERING LEAD ESSENTIAL SKILLS Strong commercial experience delivering AI solutions into production Excellent Python engineering skills Experience with Azure AI, Azure ML, Databricks, SageMaker, or similar cloud AI platforms Strong understanding of MLOps, CI/CD, and infrastructure automation Experience with LLMs, agentic frameworks, and modern AI tooling Excellent stakeholder management and communication skills Experience mentoring engineering teams and leading technical delivery TO BE CONSIDERED: Please either apply through this advert or email me directly via For further information please call me on / By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS AI Engineering Lead, Machine Learning, Artificial Intelligence, Python, Azure AI, Azure ML, Databricks, SageMaker, Bedrock, MLOps, CI/CD, LLMs, Agentic AI, Cloud Engineering, AI Architecture, Machine Learning Engineering
Jun 20, 2026
Full time
AI ENGINEERING LEAD Highly competitive salary Hybrid working model with client-facing project exposure Office in Manchester city centre Leadership opportunity within a rapidly growing AI capability KEY POINTS Senior AI Engineering leadership role with hands-on delivery Opportunity to shape engineering standards and AI strategy Client-facing position with strong stakeholder engagement Modern AI stack including Azure AI, Databricks, MLOps, and LLM technologies ABOUT THE CLIENT We're supporting a well-established, technology-focused consultancy that is continuing to invest heavily in its AI and data capability. With a strong focus on innovation, engineering quality, and responsible AI delivery, they are looking to appoint an experienced AI Engineering Lead to help shape and scale their growing function. THE ROLE: You'll take ownership of leading and developing a high-performing AI engineering function, helping shape technical standards, delivery quality, and engineering best practices across multiple projects. This role offers a blend of strategic leadership, client engagement, and hands-on technical delivery. You'll work closely with senior stakeholders, architects, and engineering teams to design and deploy scalable AI solutions into production environments. You'll also play a key role in mentoring engineers, driving capability development, and evaluating emerging technologies across AI, machine learning, and LLM ecosystems. Alongside this, you'll support workshops, solution design sessions, and technical decision-making while ensuring solutions remain scalable, secure, and aligned to business outcomes. THE BENEFITS Opportunity to work on cutting-edge AI and machine learning projects Exposure to modern AI tooling, cloud platforms, and agentic technologies Leadership role with clear progression opportunities Collaborative environment with strong focus on learning and innovation AI ENGINEERING LEAD ESSENTIAL SKILLS Strong commercial experience delivering AI solutions into production Excellent Python engineering skills Experience with Azure AI, Azure ML, Databricks, SageMaker, or similar cloud AI platforms Strong understanding of MLOps, CI/CD, and infrastructure automation Experience with LLMs, agentic frameworks, and modern AI tooling Excellent stakeholder management and communication skills Experience mentoring engineering teams and leading technical delivery TO BE CONSIDERED: Please either apply through this advert or email me directly via For further information please call me on / By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS AI Engineering Lead, Machine Learning, Artificial Intelligence, Python, Azure AI, Azure ML, Databricks, SageMaker, Bedrock, MLOps, CI/CD, LLMs, Agentic AI, Cloud Engineering, AI Architecture, Machine Learning Engineering
AI Solution Architects & Technical AI Leaders Manchester Hybrid AI Solution Architect Financial Services (Hybrid) Join a leading consulting and technology firm shaping enterprise AI and GenAI strategy for major banking clients moving AI beyond proof of concept into secure, production-grade deployment. The role: - Design AI and GenAI architecture strategies and roadmaps - Build scalable AI/ML and Agentic AI platforms - Work across LLMs, RAG, embeddings and semantic search - Support AI deployment, governance and integration patterns - Collaborate with engineering, data, DevOps and business teams - Advise clients on AI platform capability and implementation strategy Tech environment: Python LLMs (prompt engineering, fine-tuning, RAG) LangChain/LangGraph Agent frameworks Vector databases MLOps/LLMOps AWS/Azure/GCP/Databricks Kubernetes & GPU infrastructure What you'll bring: - Experience designing enterprise AI or ML architectures - Strong grasp of cloud and modern data platforms - Exposure to scalable AI deployment and integration patterns - Financial Services or regulated industry experience (essential) - Strong stakeholder engagement and communication skills Levels:Manager to Associate Director Open to a confidential chat about the AI architecture market? Apply or get in touch directly.
Jun 20, 2026
Full time
AI Solution Architects & Technical AI Leaders Manchester Hybrid AI Solution Architect Financial Services (Hybrid) Join a leading consulting and technology firm shaping enterprise AI and GenAI strategy for major banking clients moving AI beyond proof of concept into secure, production-grade deployment. The role: - Design AI and GenAI architecture strategies and roadmaps - Build scalable AI/ML and Agentic AI platforms - Work across LLMs, RAG, embeddings and semantic search - Support AI deployment, governance and integration patterns - Collaborate with engineering, data, DevOps and business teams - Advise clients on AI platform capability and implementation strategy Tech environment: Python LLMs (prompt engineering, fine-tuning, RAG) LangChain/LangGraph Agent frameworks Vector databases MLOps/LLMOps AWS/Azure/GCP/Databricks Kubernetes & GPU infrastructure What you'll bring: - Experience designing enterprise AI or ML architectures - Strong grasp of cloud and modern data platforms - Exposure to scalable AI deployment and integration patterns - Financial Services or regulated industry experience (essential) - Strong stakeholder engagement and communication skills Levels:Manager to Associate Director Open to a confidential chat about the AI architecture market? Apply or get in touch directly.
AI Solution Architect - FS Consulting A leading consulting and technology firm is seeking experienced AI Solution Architects and Technical AI Leaders to help shape enterprise AI and GenAI strategy for major banking clients. Based in Scotland on a hybrid working model, these roles focus on moving AI beyond proof of concept into secure, production-grade deployment across regulated financial environments. Key Responsibilities Design AI and GenAI architecture strategies and roadmaps that align with enterprise objectives. Build scalable AI/ML and Agentic AI platforms, working across large language models (LLMs), retrieval-augmented generation (RAG), embeddings, and semantic search. Support AI deployment, governance, and integration patterns, and advise clients on platform capability and implementation strategy. Collaborate closely with engineering, data, DevOps, and business teams to deliver end-to-end solutions. Tech Environment Python, LLMs (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, MLOps/LLMOps, AWS, Azure, GCP, Databricks, Kubernetes, and GPU infrastructure. What We're Looking For Proven experience designing enterprise AI or ML architectures, with a strong understanding of cloud and modern data platforms. Demonstrable exposure to scalable AI deployment and integration patterns is essential, as is experience within financial services or another regulated industry. Strong stakeholder engagement and communication skills are required, with the ability to advise at a senior client level. Seniority levels considered range from Manager to Associate Director, and applications from candidates across this spectrum are welcomed.
Jun 20, 2026
Full time
AI Solution Architect - FS Consulting A leading consulting and technology firm is seeking experienced AI Solution Architects and Technical AI Leaders to help shape enterprise AI and GenAI strategy for major banking clients. Based in Scotland on a hybrid working model, these roles focus on moving AI beyond proof of concept into secure, production-grade deployment across regulated financial environments. Key Responsibilities Design AI and GenAI architecture strategies and roadmaps that align with enterprise objectives. Build scalable AI/ML and Agentic AI platforms, working across large language models (LLMs), retrieval-augmented generation (RAG), embeddings, and semantic search. Support AI deployment, governance, and integration patterns, and advise clients on platform capability and implementation strategy. Collaborate closely with engineering, data, DevOps, and business teams to deliver end-to-end solutions. Tech Environment Python, LLMs (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, MLOps/LLMOps, AWS, Azure, GCP, Databricks, Kubernetes, and GPU infrastructure. What We're Looking For Proven experience designing enterprise AI or ML architectures, with a strong understanding of cloud and modern data platforms. Demonstrable exposure to scalable AI deployment and integration patterns is essential, as is experience within financial services or another regulated industry. Strong stakeholder engagement and communication skills are required, with the ability to advise at a senior client level. Seniority levels considered range from Manager to Associate Director, and applications from candidates across this spectrum are welcomed.
Senior Software Engineer, AI Location: London (Hybrid: 2 days in office, 3 days remote) Position Type: Permanent Are you a seasoned software engineer passionate about pushing the boundaries of what's possible with Generative AI? We are a leading global provider of financial information services, insights, data, and analytics. We are currently seeking a Senior Software Engineer, AI to join our team in London. In this role, you will drive high-impact AI initiatives, design production-ready generative AI platforms, and build scalable, enterprise-grade solutions that shape the future of global markets. What We Offer Transformative AI Impact: Design and deploy production-ready GenAI platforms, multi-agent systems, and intelligent automation that reshape products in real-time. Cutting-Edge Tech Stack: Experiment with the latest LLMs, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol (MCP) servers. Enterprise Scale: Build GenAI solutions across multiple business units while creating unified patterns and reusable component frameworks. Dynamic Culture: Work at the intersection of advanced engineering and product development within a collaborative, innovation-driven environment. We'll Count on You To Lead GenAI Development: Spearhead the creation of enterprise chatbot platforms, evaluation frameworks, agentic workflows, RAG architectures, and MCP implementations. Pioneer Innovation: Act as a hands-on engineer bridging the gap between research breakthroughs and production-ready capabilities to generate tangible business value. Build Robust Infrastructure: Develop enterprise-scale APIs (FastAPI) and architect comprehensive cloud-based AI infrastructure on AWS/Azure optimized for scalability and performance. Demonstrate Full-Stack Excellence: Apply your expertise across the entire technology stack to seamlessly integrate AI capabilities into user-facing products and backend systems. What You Need to Have Experience: 7+ years of professional experience designing, developing, and deploying production-grade applications, with 5+ years specifically in full-stack enterprise software engineering. Core Skills: Advanced Python programming with strong backend development capabilities. AI Expertise: Proven experience developing and deploying intelligent conversational AI systems using RAG architectures, Model Context Protocol (MCP), AI-enabled search, vector databases, and LLM integration. Frameworks: Hands-on experience building GenAI applications using LangChain and LangGraph (agent architecture design, state management, and graph-based workflow orchestration). ML & Cloud Ecosystems: Solid understanding of ML algorithms, FastAPI, PyTorch/TensorFlow, MLflow, MLOps practices, containerization (Docker, Kubernetes/AWS EKS), and cloud services (AWS Bedrock, SageMaker, Azure AI Search). Soft Skills: Excellent communication and collaboration skills, with the ability to translate complex technical concepts for diverse, cross-functional stakeholders. Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
Jun 19, 2026
Full time
Senior Software Engineer, AI Location: London (Hybrid: 2 days in office, 3 days remote) Position Type: Permanent Are you a seasoned software engineer passionate about pushing the boundaries of what's possible with Generative AI? We are a leading global provider of financial information services, insights, data, and analytics. We are currently seeking a Senior Software Engineer, AI to join our team in London. In this role, you will drive high-impact AI initiatives, design production-ready generative AI platforms, and build scalable, enterprise-grade solutions that shape the future of global markets. What We Offer Transformative AI Impact: Design and deploy production-ready GenAI platforms, multi-agent systems, and intelligent automation that reshape products in real-time. Cutting-Edge Tech Stack: Experiment with the latest LLMs, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol (MCP) servers. Enterprise Scale: Build GenAI solutions across multiple business units while creating unified patterns and reusable component frameworks. Dynamic Culture: Work at the intersection of advanced engineering and product development within a collaborative, innovation-driven environment. We'll Count on You To Lead GenAI Development: Spearhead the creation of enterprise chatbot platforms, evaluation frameworks, agentic workflows, RAG architectures, and MCP implementations. Pioneer Innovation: Act as a hands-on engineer bridging the gap between research breakthroughs and production-ready capabilities to generate tangible business value. Build Robust Infrastructure: Develop enterprise-scale APIs (FastAPI) and architect comprehensive cloud-based AI infrastructure on AWS/Azure optimized for scalability and performance. Demonstrate Full-Stack Excellence: Apply your expertise across the entire technology stack to seamlessly integrate AI capabilities into user-facing products and backend systems. What You Need to Have Experience: 7+ years of professional experience designing, developing, and deploying production-grade applications, with 5+ years specifically in full-stack enterprise software engineering. Core Skills: Advanced Python programming with strong backend development capabilities. AI Expertise: Proven experience developing and deploying intelligent conversational AI systems using RAG architectures, Model Context Protocol (MCP), AI-enabled search, vector databases, and LLM integration. Frameworks: Hands-on experience building GenAI applications using LangChain and LangGraph (agent architecture design, state management, and graph-based workflow orchestration). ML & Cloud Ecosystems: Solid understanding of ML algorithms, FastAPI, PyTorch/TensorFlow, MLflow, MLOps practices, containerization (Docker, Kubernetes/AWS EKS), and cloud services (AWS Bedrock, SageMaker, Azure AI Search). Soft Skills: Excellent communication and collaboration skills, with the ability to translate complex technical concepts for diverse, cross-functional stakeholders. Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
Location: Glasgow Head Office Full time, permanent role (37.5 hours per week) JOB PURPOSE: This role will be responsible for driving the design, architecture and delivery of AI-powered solutions across the group. It will be critical in implementing production-grade systems that leverage LLMs, with a focus on reliability and cost-aware deployment. As a Lead, this role will bridge cutting-edge research and production engineering - setting technical direction, mentoring a high-performing team, and ensuring AI solutions are robust, scalable, and responsible. PRINCIPAL TASKS AND RESPONSIBILITIES Design and implement secure and scalable LLM-powered applications using modern Generative AI architectures Collaborate with product, data and ops team to identify the issues in hand and explore how AI can open up new ways of solving them Use AI coding assistants such as Claude Code or equivalent as part of day-to-day development workflows to improve efficiency, quality, and delivery speed Optimize performance for latency, cost, accuracy, security and reliability Ensure all software that is created is in line with the technical roadmap, development guidelines and security standards. Troubleshoot, debug, and resolve technical issues across the product. Ensure code reviews and automated tests to support quality assurance Participate in all meeting arounds Refinement, Planning and Delivery. As a Lead: Lead the architecture and end-to-end development of AI solutions, from prototyping to production Collaborate with the Product team to identify candidate use cases for AI, helping them understand the art of the possible with today's AI capabilities and where it can deliver real business value. Work closely with IT Governance and Cyber Security teams to ensure AI solutions are secure by design and that data is handled responsibly, ethically, and in line with organisational policies. Define technical standards, best practices, and engineering roadmaps for AI initiatives Provide technical leadership and mentor developers Stay current with advancements in AI, evaluate emerging technologies, assess their applicability to the product, and help shape the organisation's AI journey Own quality, reliability, and performance of AI systems including monitoring, testing, and observability Conduct security and architectural reviews, and foster a culture of engineering excellence Communicate technical trade-offs and progress clearly to both technical and non-technical stakeholders Evaluate and select AI frameworks, LLM providers, vector databases, and cloud infrastructure Champion true AI Engineering across the team, leveraging AI tools to move faster without sacrificing code quality, security, or maintainability Basic Behaviours: Ensure that continuous improvement is baked into everything we do. Support the development of a strong culture focused on transparency, collaboration, and high performance Make time to support other members of the team and answer questions Take responsibility of your personal objectives and those of the team. Take ownership of deadlines and releases for yourself and the team. Any quality issues of the software the team owns should be looked on as a temporary and unacceptable state of affairs. Every opportunity should be taken to rectify problems, in conjunction with the completion of team and individual objectives. Professional / Academic / Qualifications 5+ years experience in a development role (essential) Degree level qualification (desirable) Specific Knowledge AI Hands on experience with Gen AI and LLM's Experience with RAG, Prompt engineering, Evaluation techniques AI infrastructure (vector stores, embeddings, model serving) AI agent frameworks and orchestration Understanding of embeddings, vector search Claude Code or equivalent Secure AI solution design Responsible AI principles Demonstrable AI engineering skills Agentic Tooling (desirable) Knowledge of Facilities Management domain (desirable) Background in domain-driven design, event-driven systems, or clean architecture (desirable) Software Engineering Typescript / Python / React / node js Microsoft .NET stack, SQL Server, NoSQL DB (eg Cosmos DB) REST API design and integration Design patterns and clean architecture GIT, Azure DevOps, CI/CD Pipelines, IaaC Demonstrated Behaviours Proactive, self-driven, and able to work independently or as part of a team Focused on outcomes rather than outputs Excellent verbal and written communication skills Pragmatic and flexible attitude Excellent interpersonal skills Attention to detail Mentoring/coaching skills
Jun 18, 2026
Full time
Location: Glasgow Head Office Full time, permanent role (37.5 hours per week) JOB PURPOSE: This role will be responsible for driving the design, architecture and delivery of AI-powered solutions across the group. It will be critical in implementing production-grade systems that leverage LLMs, with a focus on reliability and cost-aware deployment. As a Lead, this role will bridge cutting-edge research and production engineering - setting technical direction, mentoring a high-performing team, and ensuring AI solutions are robust, scalable, and responsible. PRINCIPAL TASKS AND RESPONSIBILITIES Design and implement secure and scalable LLM-powered applications using modern Generative AI architectures Collaborate with product, data and ops team to identify the issues in hand and explore how AI can open up new ways of solving them Use AI coding assistants such as Claude Code or equivalent as part of day-to-day development workflows to improve efficiency, quality, and delivery speed Optimize performance for latency, cost, accuracy, security and reliability Ensure all software that is created is in line with the technical roadmap, development guidelines and security standards. Troubleshoot, debug, and resolve technical issues across the product. Ensure code reviews and automated tests to support quality assurance Participate in all meeting arounds Refinement, Planning and Delivery. As a Lead: Lead the architecture and end-to-end development of AI solutions, from prototyping to production Collaborate with the Product team to identify candidate use cases for AI, helping them understand the art of the possible with today's AI capabilities and where it can deliver real business value. Work closely with IT Governance and Cyber Security teams to ensure AI solutions are secure by design and that data is handled responsibly, ethically, and in line with organisational policies. Define technical standards, best practices, and engineering roadmaps for AI initiatives Provide technical leadership and mentor developers Stay current with advancements in AI, evaluate emerging technologies, assess their applicability to the product, and help shape the organisation's AI journey Own quality, reliability, and performance of AI systems including monitoring, testing, and observability Conduct security and architectural reviews, and foster a culture of engineering excellence Communicate technical trade-offs and progress clearly to both technical and non-technical stakeholders Evaluate and select AI frameworks, LLM providers, vector databases, and cloud infrastructure Champion true AI Engineering across the team, leveraging AI tools to move faster without sacrificing code quality, security, or maintainability Basic Behaviours: Ensure that continuous improvement is baked into everything we do. Support the development of a strong culture focused on transparency, collaboration, and high performance Make time to support other members of the team and answer questions Take responsibility of your personal objectives and those of the team. Take ownership of deadlines and releases for yourself and the team. Any quality issues of the software the team owns should be looked on as a temporary and unacceptable state of affairs. Every opportunity should be taken to rectify problems, in conjunction with the completion of team and individual objectives. Professional / Academic / Qualifications 5+ years experience in a development role (essential) Degree level qualification (desirable) Specific Knowledge AI Hands on experience with Gen AI and LLM's Experience with RAG, Prompt engineering, Evaluation techniques AI infrastructure (vector stores, embeddings, model serving) AI agent frameworks and orchestration Understanding of embeddings, vector search Claude Code or equivalent Secure AI solution design Responsible AI principles Demonstrable AI engineering skills Agentic Tooling (desirable) Knowledge of Facilities Management domain (desirable) Background in domain-driven design, event-driven systems, or clean architecture (desirable) Software Engineering Typescript / Python / React / node js Microsoft .NET stack, SQL Server, NoSQL DB (eg Cosmos DB) REST API design and integration Design patterns and clean architecture GIT, Azure DevOps, CI/CD Pipelines, IaaC Demonstrated Behaviours Proactive, self-driven, and able to work independently or as part of a team Focused on outcomes rather than outputs Excellent verbal and written communication skills Pragmatic and flexible attitude Excellent interpersonal skills Attention to detail Mentoring/coaching skills
Senior AI Automation Engineer Please read the below high-level overview of this role first before getting in touch We are building AI engineering capability within our internal tax technology function. This is a hands-on Senior AI Automation Engineer role focused on designing, building and deploying production-grade AI agents, automated workflows and scalable integrations used directly by internal business teams. This role would suit someone who can combine strong Python engineering with practical AI/LLM application experience, Azure cloud capability and enterprise integration skills. If this sounds like a good match for you, contact Lorenz Pasch at Hays Recruitment ASAP My contact details for direct contact are available on my LinkedIn profile Unfortunately, there are no sponsorship options available for this position. The Role You will join a growing internal technology team focused on delivering AI-powered systems into a governed enterprise environment. This is not a research or proof-of-concept role; the focus is on building reliable, production-ready AI tools, automation workflows and reusable engineering components that are adopted by real users. You will work across applied AI, software engineering, automation and platform integration, helping to shape engineering standards while supporting the development of early-career engineers. Key Responsibilities Design and build AI agents and multistep workflows for internal tax and business use cases. Develop Python-based services, automation pipelines and production-grade applications. Integrate AI systems with internal platforms using APIs, authentication and event-driven architectures. Orchestrate workflows across Microsoft AI platforms, Copilot Studio, Azure AI services and internal systems. Build reusable components including connectors, agent tools and shared automation services. Implement CI/CD pipelines for reliable deployment, versioning and release management. Ensure AI solutions are scalable, observable, secure and maintainable in an enterprise environment. Lead technical design discussions, code reviews and engineering best practice. Support junior and early-career engineers through mentoring and technical guidance. Measure outcomes, gather user feedback and iterate solutions based on real-world usage. Skills and Experience Required Strong Python engineering skills, including APIs, testing, modular design and async processing. Experience building production-grade applications, services or automation platforms. Practical experience building AI, LLM, agentic or workflow-based applications. Understanding of AI agents, orchestration patterns, tool use and the limitations of large language models. Experience with Azure OpenAI, Azure AI Foundry, Copilot Studio or similar platforms would be highly beneficial. Strong experience with REST APIs, GraphQL, authentication and system integration. Experience building reusable services, connectors or internal platform components. Knowledge of CI/CD pipelines, Git workflows, automated testing, deployment and monitoring. Experience with Microsoft Azure, including AI services, Azure Functions, containers or Azure Container Apps. Containerisation experience with Docker, Kubernetes or similar technologies would be advantageous. Desirable Experience Experience in tax, finance, accounting, audit, legal, consulting or another regulated environment. Experience with prompt evaluation, prompt/version control or AI governance. Exposure to Microsoft Power Platform or Copilot Studio ecosystems. Experience working with internal platforms, shared services or enterprise automation. Understanding of auditability, security, permissions and human-in-the-loop workflows. Suitable Backgrounds This opportunity may suit someone currently working as a Senior AI Engineer, LLM Engineer, AI Automation Engineer, Applied AI Engineer, AI Platform Engineer, Senior Python Engineer, Python Automation Engineer, Azure AI Engineer, Workflow Automation Engineer, Integration Engineer or Platform Engineer. Benefits Hybrid and flexible working. 27 days' annual leave, with the option to purchase additional days. Health, lifestyle and wellbeing benefits. Financial wellbeing tools and support. Electric car scheme. Access to a virtual GP. Access to a large suite of on-demand learning and development courses. This is an excellent opportunity for an engineer who wants to move beyond AI prototypes and build real, production-grade AI agents, automation workflows and Python services that have a direct impact on business operations. If interested, call Lorenz Pasch at Hays Recruitment on (phone number removed) ASAP. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Jun 17, 2026
Full time
Senior AI Automation Engineer Please read the below high-level overview of this role first before getting in touch We are building AI engineering capability within our internal tax technology function. This is a hands-on Senior AI Automation Engineer role focused on designing, building and deploying production-grade AI agents, automated workflows and scalable integrations used directly by internal business teams. This role would suit someone who can combine strong Python engineering with practical AI/LLM application experience, Azure cloud capability and enterprise integration skills. If this sounds like a good match for you, contact Lorenz Pasch at Hays Recruitment ASAP My contact details for direct contact are available on my LinkedIn profile Unfortunately, there are no sponsorship options available for this position. The Role You will join a growing internal technology team focused on delivering AI-powered systems into a governed enterprise environment. This is not a research or proof-of-concept role; the focus is on building reliable, production-ready AI tools, automation workflows and reusable engineering components that are adopted by real users. You will work across applied AI, software engineering, automation and platform integration, helping to shape engineering standards while supporting the development of early-career engineers. Key Responsibilities Design and build AI agents and multistep workflows for internal tax and business use cases. Develop Python-based services, automation pipelines and production-grade applications. Integrate AI systems with internal platforms using APIs, authentication and event-driven architectures. Orchestrate workflows across Microsoft AI platforms, Copilot Studio, Azure AI services and internal systems. Build reusable components including connectors, agent tools and shared automation services. Implement CI/CD pipelines for reliable deployment, versioning and release management. Ensure AI solutions are scalable, observable, secure and maintainable in an enterprise environment. Lead technical design discussions, code reviews and engineering best practice. Support junior and early-career engineers through mentoring and technical guidance. Measure outcomes, gather user feedback and iterate solutions based on real-world usage. Skills and Experience Required Strong Python engineering skills, including APIs, testing, modular design and async processing. Experience building production-grade applications, services or automation platforms. Practical experience building AI, LLM, agentic or workflow-based applications. Understanding of AI agents, orchestration patterns, tool use and the limitations of large language models. Experience with Azure OpenAI, Azure AI Foundry, Copilot Studio or similar platforms would be highly beneficial. Strong experience with REST APIs, GraphQL, authentication and system integration. Experience building reusable services, connectors or internal platform components. Knowledge of CI/CD pipelines, Git workflows, automated testing, deployment and monitoring. Experience with Microsoft Azure, including AI services, Azure Functions, containers or Azure Container Apps. Containerisation experience with Docker, Kubernetes or similar technologies would be advantageous. Desirable Experience Experience in tax, finance, accounting, audit, legal, consulting or another regulated environment. Experience with prompt evaluation, prompt/version control or AI governance. Exposure to Microsoft Power Platform or Copilot Studio ecosystems. Experience working with internal platforms, shared services or enterprise automation. Understanding of auditability, security, permissions and human-in-the-loop workflows. Suitable Backgrounds This opportunity may suit someone currently working as a Senior AI Engineer, LLM Engineer, AI Automation Engineer, Applied AI Engineer, AI Platform Engineer, Senior Python Engineer, Python Automation Engineer, Azure AI Engineer, Workflow Automation Engineer, Integration Engineer or Platform Engineer. Benefits Hybrid and flexible working. 27 days' annual leave, with the option to purchase additional days. Health, lifestyle and wellbeing benefits. Financial wellbeing tools and support. Electric car scheme. Access to a virtual GP. Access to a large suite of on-demand learning and development courses. This is an excellent opportunity for an engineer who wants to move beyond AI prototypes and build real, production-grade AI agents, automation workflows and Python services that have a direct impact on business operations. If interested, call Lorenz Pasch at Hays Recruitment on (phone number removed) ASAP. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
PRINCIPAL AI CONSULTANT Remote role with travel to client sites as required Lead the delivery of enterprise-scale AI solutions for a growing consultancy Highly client-facing role with influence across strategy, architecture, and delivery Work with Azure AI Foundry, Databricks, MLOps, and cutting-edge agentic AI technologies ABOUT THE CLIENT We're partnering with a growing consultancy at the forefront of AI and data innovation, helping organisations unlock greater value through modern engineering and intelligent solutions. Due to continued growth, they are looking for a Principal AI Consultant to join the business and play a key role in shaping both client solutions and the wider AI capability. This is a highly consultative position suited to someone who is confident operating in client-facing environments and able to build trust quickly with senior stakeholders. THE BENEFITS Remote working with travel to client sites as required Opportunity to lead and grow a high-performing AI engineering team Exposure to cutting-edge AI technologies, including LLMs and agentic frameworks Work across a broad range of industries and enterprise-scale projects Strong focus on learning, innovation, and career progression Collaborative, people-first culture THE PRINCIPAL AI CONSULTANT ROLE You will act as both a technical leader and trusted advisor, helping clients navigate complex AI initiatives with confidence. This role requires someone who can simplify highly technical concepts, guide conversations with clarity, and create confidence amongst both technical and non-technical stakeholders. You will lead workshops, shape AI strategies, influence delivery decisions, and ensure solutions are scalable, secure, and commercially valuable. Alongside hands-on engineering leadership, you will mentor teams, define best practices, and help grow the wider AI capability. The successful candidate will be someone who naturally puts stakeholders at ease, commands credibility in the room, and thrives in environments where communication and relationship-building are just as important as technical expertise. PRINCIPAL AI CONSULTANT - ESSENTIAL SKILLS Previous experience working within a consultancy or client-facing environment Exceptional communication and stakeholder engagement skills Ability to influence and build trust with senior business and technical stakeholders Proven experience delivering AI solutions into production Strong Python/software engineering background Experience with Azure AI Foundry, Azure ML, Databricks, AWS SageMaker, Bedrock, or similar platforms Strong understanding of MLOps, CI/CD, observability, and production AI delivery Experience leading engineering teams and mentoring technical professionals Ability to lead workshops, shape solutions, and support decision-making in complex environments TO BE CONSIDERED Please either apply through this advert or email me directly via By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS AI Consulting, AI Engineering, Stakeholder Management, Python, Azure AI Foundry, Databricks, MLOps, AWS SageMaker, Bedrock, Machine Learning, Cloud, AI Strategy, Technical Leadership
Jun 17, 2026
Full time
PRINCIPAL AI CONSULTANT Remote role with travel to client sites as required Lead the delivery of enterprise-scale AI solutions for a growing consultancy Highly client-facing role with influence across strategy, architecture, and delivery Work with Azure AI Foundry, Databricks, MLOps, and cutting-edge agentic AI technologies ABOUT THE CLIENT We're partnering with a growing consultancy at the forefront of AI and data innovation, helping organisations unlock greater value through modern engineering and intelligent solutions. Due to continued growth, they are looking for a Principal AI Consultant to join the business and play a key role in shaping both client solutions and the wider AI capability. This is a highly consultative position suited to someone who is confident operating in client-facing environments and able to build trust quickly with senior stakeholders. THE BENEFITS Remote working with travel to client sites as required Opportunity to lead and grow a high-performing AI engineering team Exposure to cutting-edge AI technologies, including LLMs and agentic frameworks Work across a broad range of industries and enterprise-scale projects Strong focus on learning, innovation, and career progression Collaborative, people-first culture THE PRINCIPAL AI CONSULTANT ROLE You will act as both a technical leader and trusted advisor, helping clients navigate complex AI initiatives with confidence. This role requires someone who can simplify highly technical concepts, guide conversations with clarity, and create confidence amongst both technical and non-technical stakeholders. You will lead workshops, shape AI strategies, influence delivery decisions, and ensure solutions are scalable, secure, and commercially valuable. Alongside hands-on engineering leadership, you will mentor teams, define best practices, and help grow the wider AI capability. The successful candidate will be someone who naturally puts stakeholders at ease, commands credibility in the room, and thrives in environments where communication and relationship-building are just as important as technical expertise. PRINCIPAL AI CONSULTANT - ESSENTIAL SKILLS Previous experience working within a consultancy or client-facing environment Exceptional communication and stakeholder engagement skills Ability to influence and build trust with senior business and technical stakeholders Proven experience delivering AI solutions into production Strong Python/software engineering background Experience with Azure AI Foundry, Azure ML, Databricks, AWS SageMaker, Bedrock, or similar platforms Strong understanding of MLOps, CI/CD, observability, and production AI delivery Experience leading engineering teams and mentoring technical professionals Ability to lead workshops, shape solutions, and support decision-making in complex environments TO BE CONSIDERED Please either apply through this advert or email me directly via By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS AI Consulting, AI Engineering, Stakeholder Management, Python, Azure AI Foundry, Databricks, MLOps, AWS SageMaker, Bedrock, Machine Learning, Cloud, AI Strategy, Technical Leadership
