We are hiring a Senior Artificial Intelligence (AI) Governance Specialist /Lead, London-hybrid for 6 months initially. MARKET RATE Inside IR35 Essential Experience applying AI governance, model risk or responsible AI controls within technology or data-driven programmes. Experience operating within regulated or compliance-sensitive environments. Working knowledge of machine learning pipelines, data governance practices and model monitoring concepts. Experience translating regulatory, policy or risk requirements into practical controls within AI or digital solutions. Ability to engage and influence technical and non-technical stakeholders within cross-functional delivery teams. Desirable Experience developing governance frameworks for emerging technologies such as advanced machine learning or agentic automation systems. Experience operating within multi-supplier or multi-organisation delivery environments. Familiarity with rail industry risk, assurance or safety governance processes. Exposure to model monitoring, lifecycle management or Machine Learning Operations practices Responsible AI governance across the by defining and embedding risk management, assurance and compliance controls to support the safe, ethical and regulatory-aligned deployment of AI and automation solutions. Define and embed AI governance principles, risk controls and assurance frameworks across the programme to support consistent and responsible AI deployment Review and challenge AI and automation solutions against regulatory expectations, including data privacy, security, explainability, bias mitigation and safe operation Identify, assess and manage risks specific to AI systems, including model reliability, agentic behaviour constraints, data usage and ethical considerations. Direct the development and maintenance of comprehensive governance artefacts including model risk assessments, data handling controls, audit mechanisms, monitoring frameworks and exception management processes. Shape governance approaches for machine learning and agentic automation systems to support responsible experimentation and controlled deployment. Work in close partnership and collaborate with the AI Solutions Architect, Data Scientists and Engineers to embed governance controls throughout the solution lifecycle. Translate policy, regulatory and risk requirements into practical technical controls and guardrails within AI solution designs. Define and oversee performance metrics, key risk indicators and monitoring approaches to identify model drift, governance breaches and emerging risk patterns.
Mar 31, 2026
Contractor
We are hiring a Senior Artificial Intelligence (AI) Governance Specialist /Lead, London-hybrid for 6 months initially. MARKET RATE Inside IR35 Essential Experience applying AI governance, model risk or responsible AI controls within technology or data-driven programmes. Experience operating within regulated or compliance-sensitive environments. Working knowledge of machine learning pipelines, data governance practices and model monitoring concepts. Experience translating regulatory, policy or risk requirements into practical controls within AI or digital solutions. Ability to engage and influence technical and non-technical stakeholders within cross-functional delivery teams. Desirable Experience developing governance frameworks for emerging technologies such as advanced machine learning or agentic automation systems. Experience operating within multi-supplier or multi-organisation delivery environments. Familiarity with rail industry risk, assurance or safety governance processes. Exposure to model monitoring, lifecycle management or Machine Learning Operations practices Responsible AI governance across the by defining and embedding risk management, assurance and compliance controls to support the safe, ethical and regulatory-aligned deployment of AI and automation solutions. Define and embed AI governance principles, risk controls and assurance frameworks across the programme to support consistent and responsible AI deployment Review and challenge AI and automation solutions against regulatory expectations, including data privacy, security, explainability, bias mitigation and safe operation Identify, assess and manage risks specific to AI systems, including model reliability, agentic behaviour constraints, data usage and ethical considerations. Direct the development and maintenance of comprehensive governance artefacts including model risk assessments, data handling controls, audit mechanisms, monitoring frameworks and exception management processes. Shape governance approaches for machine learning and agentic automation systems to support responsible experimentation and controlled deployment. Work in close partnership and collaborate with the AI Solutions Architect, Data Scientists and Engineers to embed governance controls throughout the solution lifecycle. Translate policy, regulatory and risk requirements into practical technical controls and guardrails within AI solution designs. Define and oversee performance metrics, key risk indicators and monitoring approaches to identify model drift, governance breaches and emerging risk patterns.
Staff Software Engineer Glasgow (2-3 days p/w on site) £80,000 p/a Overview An excellent opportunity to join a well-regarded Ed-Tech organisation with a strong presence in Glasgow. You will have the opportunity to shape and build solutions used by students across the globe. Build and evolve a cloud-based product used at meaningful scale. This is a senior, hands-on role for an engineer who enjoys shaping technical direction, raising engineering standards, and helping multiple squads deliver reliably without stepping away from the code. Responsibilities Design, build and maintain production services and customer-facing features, from early discovery through to release and operation. Provide technical leadership across multiple squads: clarify goals, reduce ambiguity and help teams converge on pragmatic solutions. Partner closely with Product and Design to turn outcomes into shippable increments, keeping communication crisp and expectations aligned. Set a high bar for engineering quality: architecture, code health, testing discipline, observability and operational readiness. Work with reliability/operations colleagues to improve uptime, performance, incident response and capacity planning. Own and improve delivery ways of working: estimation approaches, planning, prioritisation, and predictable execution against epics. Continuously modernise existing systems; simplify, automate, and remove friction to increase delivery speed. Contribute to the technical roadmap for your domain, balancing near-term delivery with longer-term platform evolution. Collaborate on cross-cutting initiatives such as security, data and applied AI where they improve product outcomes. Required Experience Significant commercial software engineering experience, operating at a senior/staff level. Comfort leading through influence: you can align teams, coach engineers, and drive decisions without relying on hierarchy. A strong sense of ownership and follow-through. You should be comfortable being accountable for outcomes, not just tasks. A bias for action paired with good judgement: you can move quickly while managing risk in production systems. Evidence of improving how teams work (quality, delivery, reliability, developer experience) and challenging the status quo constructively. Clear communicator who can tailor detail for different audiences: engineers, product partners and leadership. Deep capability in at least one mainstream programming language and ecosystem, with the range to be effective in others. Practical experience designing and running cloud-native services, including infrastructure, deployment and operational tooling. Confidence diagnosing complex issues in distributed systems (performance, reliability, tricky production defects). Strong grasp of data storage and access patterns, with hands-on experience across relational and/or NoSQL databases. Comfort working with modern engineering practices: automated testing, code review, CI/CD, observability and secure-by-design thinking. Curiosity about emerging approaches (including applied and agentic AI) and the ability to adopt them responsibly where they add value. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.
Mar 31, 2026
Full time
Staff Software Engineer Glasgow (2-3 days p/w on site) £80,000 p/a Overview An excellent opportunity to join a well-regarded Ed-Tech organisation with a strong presence in Glasgow. You will have the opportunity to shape and build solutions used by students across the globe. Build and evolve a cloud-based product used at meaningful scale. This is a senior, hands-on role for an engineer who enjoys shaping technical direction, raising engineering standards, and helping multiple squads deliver reliably without stepping away from the code. Responsibilities Design, build and maintain production services and customer-facing features, from early discovery through to release and operation. Provide technical leadership across multiple squads: clarify goals, reduce ambiguity and help teams converge on pragmatic solutions. Partner closely with Product and Design to turn outcomes into shippable increments, keeping communication crisp and expectations aligned. Set a high bar for engineering quality: architecture, code health, testing discipline, observability and operational readiness. Work with reliability/operations colleagues to improve uptime, performance, incident response and capacity planning. Own and improve delivery ways of working: estimation approaches, planning, prioritisation, and predictable execution against epics. Continuously modernise existing systems; simplify, automate, and remove friction to increase delivery speed. Contribute to the technical roadmap for your domain, balancing near-term delivery with longer-term platform evolution. Collaborate on cross-cutting initiatives such as security, data and applied AI where they improve product outcomes. Required Experience Significant commercial software engineering experience, operating at a senior/staff level. Comfort leading through influence: you can align teams, coach engineers, and drive decisions without relying on hierarchy. A strong sense of ownership and follow-through. You should be comfortable being accountable for outcomes, not just tasks. A bias for action paired with good judgement: you can move quickly while managing risk in production systems. Evidence of improving how teams work (quality, delivery, reliability, developer experience) and challenging the status quo constructively. Clear communicator who can tailor detail for different audiences: engineers, product partners and leadership. Deep capability in at least one mainstream programming language and ecosystem, with the range to be effective in others. Practical experience designing and running cloud-native services, including infrastructure, deployment and operational tooling. Confidence diagnosing complex issues in distributed systems (performance, reliability, tricky production defects). Strong grasp of data storage and access patterns, with hands-on experience across relational and/or NoSQL databases. Comfort working with modern engineering practices: automated testing, code review, CI/CD, observability and secure-by-design thinking. Curiosity about emerging approaches (including applied and agentic AI) and the ability to adopt them responsibly where they add value. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.
AI Engineer - Transform Government Communications with Cutting-Edge AI. Are you passionate about leveraging AI to drive impactful change? We are seeking an AI Engineer with experience in Large Language API's (from 2021), Generative AI and Python, to play a pivotal role in shaping and enhancing AI products for Government. This role is fully remote and Inside IR35. 6 Month contract. Why Apply: 1. Innovative Impact: Be part of a team that has successfully launched Assist, an award-winning service that saves users an average of three hours per week. Assist is a business-critical tool for over 6500 Civil Servants across more than 300 public sector organisations. 2. Future-Focused: Engage with an exciting roadmap that includes developing synthetic AI-driven audiences and personalisation capabilities. Your work will directly contribute to the next generation of AI solutions within the public sector. 3. Collaborative Environment: Work alongside Developers, Data Scientists, User Researchers, and a Product Manager in an agile setting. Your contributions will be integral to the iterative development of a leading AI product. Key Responsibilities: - Maintain and iterate a web API using FastAPI, hosted on Amazon Web Services (AWS). - Develop improvements to Assist, focusing on data ingestion, UI updates, and agentic possibilities. - Design and deliver new capabilities, such as conversational AI-powered synthetic audiences. - Collaborate with a Product Manager and other Software Developers to organise and complete tasks. - Contribute to technical decision-making, including Generative AI solutions around Retrieval Augmented Generation (RAG) and prompt engineering. - Document and maintain Agile project responsibilities. - Develop features around sentiment analysis, data ingestion, and synthetic audience creation. Skills and Experience: - Proven experience in building Large Language Model-based applications incorporating tool usage and information retrieval. - Proficiency in Python programming. - Experience administering Amazon Web Services accounts. - Ability to take ownership of the entire feature development life cycle, from development and testing to deployment. - Experience in agile product delivery, working within a small interdisciplinary team. Be at the forefront of transforming government communications through AI. Your expertise will help shape a product that delivers real impact for the public, making a tangible difference in the efficiency and effectiveness of government services. For further information, contact Andrew Medhurst at Inspire People. Inspire People is acting as an employment business to the end user and candidates.
Oct 08, 2025
Contractor
AI Engineer - Transform Government Communications with Cutting-Edge AI. Are you passionate about leveraging AI to drive impactful change? We are seeking an AI Engineer with experience in Large Language API's (from 2021), Generative AI and Python, to play a pivotal role in shaping and enhancing AI products for Government. This role is fully remote and Inside IR35. 6 Month contract. Why Apply: 1. Innovative Impact: Be part of a team that has successfully launched Assist, an award-winning service that saves users an average of three hours per week. Assist is a business-critical tool for over 6500 Civil Servants across more than 300 public sector organisations. 2. Future-Focused: Engage with an exciting roadmap that includes developing synthetic AI-driven audiences and personalisation capabilities. Your work will directly contribute to the next generation of AI solutions within the public sector. 3. Collaborative Environment: Work alongside Developers, Data Scientists, User Researchers, and a Product Manager in an agile setting. Your contributions will be integral to the iterative development of a leading AI product. Key Responsibilities: - Maintain and iterate a web API using FastAPI, hosted on Amazon Web Services (AWS). - Develop improvements to Assist, focusing on data ingestion, UI updates, and agentic possibilities. - Design and deliver new capabilities, such as conversational AI-powered synthetic audiences. - Collaborate with a Product Manager and other Software Developers to organise and complete tasks. - Contribute to technical decision-making, including Generative AI solutions around Retrieval Augmented Generation (RAG) and prompt engineering. - Document and maintain Agile project responsibilities. - Develop features around sentiment analysis, data ingestion, and synthetic audience creation. Skills and Experience: - Proven experience in building Large Language Model-based applications incorporating tool usage and information retrieval. - Proficiency in Python programming. - Experience administering Amazon Web Services accounts. - Ability to take ownership of the entire feature development life cycle, from development and testing to deployment. - Experience in agile product delivery, working within a small interdisciplinary team. Be at the forefront of transforming government communications through AI. Your expertise will help shape a product that delivers real impact for the public, making a tangible difference in the efficiency and effectiveness of government services. For further information, contact Andrew Medhurst at Inspire People. Inspire People is acting as an employment business to the end user and candidates.
A market leader in AI solutions is seeking a well experienced Lead Developer to join their innovative engineering team. You'll be responsible for providing technical leadership, customer-facing (requirements gathering), solution design, delivery oversight for AI projects and products. You'll take the lead in understanding client processes, solution viability and ensuring technical deliverables align. In addition, you'd work closely with Architects, Project Managers and client stakeholders to deliver scalable and secure AI solutions. Work Type: Hybrid working based in Cheshire, 2-3 days on-site but can be flexible (rest of time WFH). Skills & Experience: A delivery-focused outlook and commercial awareness Experience engaging directly with clients to capture business processes and requirements The ability to balance hands-on coding expertise with solution viability analysis Experience mentoring developers and enforcing coding standards A strong background in .NET, Azure, and modern AI frameworks Excellent communication skills to bridge technical and non-technical stakeholders A passion for innovation and responsible AI practices Responsibilities: Engage directly with client stakeholders to capture and document business process requirements Translate business workflows into viable technical designs, backlog items, and deliverables Assess the feasibility and viability of solutions against business needs, budgets, and technical constraints Provide technical leadership across programmes and projects, coordinating outputs across delivery teams Support architects in solution design and integration patterns Mentor developers, fostering skill development and knowledge transfer Lead backlog refinement, sprint planning, and technical prioritisation activities Oversee quality assurance, code reviews, and unit testing to ensure delivery quality Ensure AI solutions adhere to secure coding, accessibility, and compliance standards Contribute to implementation of LLMs, RAG, Agentic AI, and related frameworks Manage DevOps pipelines and CI/CD practices in Azure Support delivery of cloud-first applications across Azure, Power Platform, and M365 Research and apply emerging AI and Microsoft technologies to improve product and solution delivery
Oct 06, 2025
Full time
A market leader in AI solutions is seeking a well experienced Lead Developer to join their innovative engineering team. You'll be responsible for providing technical leadership, customer-facing (requirements gathering), solution design, delivery oversight for AI projects and products. You'll take the lead in understanding client processes, solution viability and ensuring technical deliverables align. In addition, you'd work closely with Architects, Project Managers and client stakeholders to deliver scalable and secure AI solutions. Work Type: Hybrid working based in Cheshire, 2-3 days on-site but can be flexible (rest of time WFH). Skills & Experience: A delivery-focused outlook and commercial awareness Experience engaging directly with clients to capture business processes and requirements The ability to balance hands-on coding expertise with solution viability analysis Experience mentoring developers and enforcing coding standards A strong background in .NET, Azure, and modern AI frameworks Excellent communication skills to bridge technical and non-technical stakeholders A passion for innovation and responsible AI practices Responsibilities: Engage directly with client stakeholders to capture and document business process requirements Translate business workflows into viable technical designs, backlog items, and deliverables Assess the feasibility and viability of solutions against business needs, budgets, and technical constraints Provide technical leadership across programmes and projects, coordinating outputs across delivery teams Support architects in solution design and integration patterns Mentor developers, fostering skill development and knowledge transfer Lead backlog refinement, sprint planning, and technical prioritisation activities Oversee quality assurance, code reviews, and unit testing to ensure delivery quality Ensure AI solutions adhere to secure coding, accessibility, and compliance standards Contribute to implementation of LLMs, RAG, Agentic AI, and related frameworks Manage DevOps pipelines and CI/CD practices in Azure Support delivery of cloud-first applications across Azure, Power Platform, and M365 Research and apply emerging AI and Microsoft technologies to improve product and solution delivery
Senior AI Software EngineerLondon£90,000-£130,000 I'm partnering with a dynamic AI consultancy that embeds itself within client businesses, listening closely, then building bespoke agentic AI solutions that automate processes, improve speed, and enhance decision-making. Role Responsibilities As a Senior AI Applied Engineer, you will: Build & Deploy AI-Driven Software SolutionsYou'll blend software engineering and AI expertise to develop scalable, production-grade systems leveraging generative AI and agentic automation. Own Project-Based Work Across Diverse DomainsYou'll tackle varied engagements, ranging in length and complexity, and support multiple clients. Ensure Scalable and Reliable DeploymentYour role includes end-to-end responsibility for deploying AI solutions that are robust, maintainable, and optimized for performance at scale. Act as a Strong Team Contributor and CommunicatorWhile you won't lead client engagements, you'll work closely with clients and internal teams, translating client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities. Leverage Generative AI ExpertiseUtilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery. Who We're Looking For Essential Qualifications & Experience Strong software engineering background with deep experience deploying scalable systems At least some commercial experience using Generative AI exposure (e.g., LLMs, agentic interfaces, prompt engineering) but primarily strong engineering fluency Comfortable with project-based, delivery-focused work, even if no prior consultancy experience Confident in client-facing situations and able to collaborate effectively with non-technical stakeholders Reliable, consistent work history; this is a long-term growth-focused opportunity within an expanding team of 5 for this role Ready to Apply? If this resonates with your background and career path, let's talk. Please share your CV highlighting your engineering experience and where generative AI has featured, especially in deployment or integration roles.
Sep 25, 2025
Full time
Senior AI Software EngineerLondon£90,000-£130,000 I'm partnering with a dynamic AI consultancy that embeds itself within client businesses, listening closely, then building bespoke agentic AI solutions that automate processes, improve speed, and enhance decision-making. Role Responsibilities As a Senior AI Applied Engineer, you will: Build & Deploy AI-Driven Software SolutionsYou'll blend software engineering and AI expertise to develop scalable, production-grade systems leveraging generative AI and agentic automation. Own Project-Based Work Across Diverse DomainsYou'll tackle varied engagements, ranging in length and complexity, and support multiple clients. Ensure Scalable and Reliable DeploymentYour role includes end-to-end responsibility for deploying AI solutions that are robust, maintainable, and optimized for performance at scale. Act as a Strong Team Contributor and CommunicatorWhile you won't lead client engagements, you'll work closely with clients and internal teams, translating client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities. Leverage Generative AI ExpertiseUtilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery. Who We're Looking For Essential Qualifications & Experience Strong software engineering background with deep experience deploying scalable systems At least some commercial experience using Generative AI exposure (e.g., LLMs, agentic interfaces, prompt engineering) but primarily strong engineering fluency Comfortable with project-based, delivery-focused work, even if no prior consultancy experience Confident in client-facing situations and able to collaborate effectively with non-technical stakeholders Reliable, consistent work history; this is a long-term growth-focused opportunity within an expanding team of 5 for this role Ready to Apply? If this resonates with your background and career path, let's talk. Please share your CV highlighting your engineering experience and where generative AI has featured, especially in deployment or integration roles.
Lead AI Engineer - ContractSR2 is proud to be supporting a flagship UK government AI programme, delivering a first-of-its-kind, citizen-facing solution at a national scale. This is an opportunity to step into the Lead AI Engineer role, taking ownership of the architecture and delivery of advanced agentic AI backends.What you'll do Lead the design and implementation of scalable agentic AI systems using modern frameworks. Architect and develop autonomous agents with planning, reasoning, and execution capabilities. Build and experiment with multi-agent systems that collaborate effectively. Develop agent memory systems and knowledge management tools. Evaluate, prototype, and select emerging AI technologies for experimental use cases. Apply open standards (e.g. MCP) to ensure interoperability across platforms. What we're looking for Proven experience in building agentic backends - able to describe the purpose of applications delivered, the tech stack/frameworks used, and your direct contributions. Strong Python development skills (5+ years), with solid software engineering foundations. Demonstrable track record in experimental AI research and applying emerging frameworks. Innovative problem-solver, comfortable leading technical direction in complex environments. Active SC clearance or eligibility to obtain. Why this role? This is a unique, long-term programme at the cutting edge of government AI, combining innovation, scale, and meaningful public impact. You'll be at the heart of shaping a system that could transform citizen-facing services across the UK.
Sep 24, 2025
Full time
Lead AI Engineer - ContractSR2 is proud to be supporting a flagship UK government AI programme, delivering a first-of-its-kind, citizen-facing solution at a national scale. This is an opportunity to step into the Lead AI Engineer role, taking ownership of the architecture and delivery of advanced agentic AI backends.What you'll do Lead the design and implementation of scalable agentic AI systems using modern frameworks. Architect and develop autonomous agents with planning, reasoning, and execution capabilities. Build and experiment with multi-agent systems that collaborate effectively. Develop agent memory systems and knowledge management tools. Evaluate, prototype, and select emerging AI technologies for experimental use cases. Apply open standards (e.g. MCP) to ensure interoperability across platforms. What we're looking for Proven experience in building agentic backends - able to describe the purpose of applications delivered, the tech stack/frameworks used, and your direct contributions. Strong Python development skills (5+ years), with solid software engineering foundations. Demonstrable track record in experimental AI research and applying emerging frameworks. Innovative problem-solver, comfortable leading technical direction in complex environments. Active SC clearance or eligibility to obtain. Why this role? This is a unique, long-term programme at the cutting edge of government AI, combining innovation, scale, and meaningful public impact. You'll be at the heart of shaping a system that could transform citizen-facing services across the UK.
A market leader in AI solutions is seeking a well experienced Lead Developer to join their innovative engineering team. You'll be responsible for providing technical leadership, customer-facing (requirements gathering), solution design, delivery oversight for AI projects and products. You'll take the lead in understanding client processes, solution viability and ensuring technical deliverables align. In addition, you'd work closely with Architects, Project Managers and client stakeholders to deliver scalable and secure AI solutions. Work Type: Hybrid working based in Cheshire, 2-3 days on-site but can be flexible (rest of time WFH). Skills & Experience: A delivery-focused outlook and commercial awareness Experience engaging directly with clients to capture business processes and requirements The ability to balance hands-on coding expertise with solution viability analysis Experience mentoring developers and enforcing coding standards A strong background in .NET, Azure, and modern AI frameworks Excellent communication skills to bridge technical and non-technical stakeholders A passion for innovation and responsible AI practices Responsibilities: Engage directly with client stakeholders to capture and document business process requirements Translate business workflows into viable technical designs, backlog items, and deliverables Assess the feasibility and viability of solutions against business needs, budgets, and technical constraints Provide technical leadership across programmes and projects, coordinating outputs across delivery teams Support architects in solution design and integration patterns Mentor developers, fostering skill development and knowledge transfer Lead backlog refinement, sprint planning, and technical prioritisation activities Oversee quality assurance, code reviews, and unit testing to ensure delivery quality Ensure AI solutions adhere to secure coding, accessibility, and compliance standards Contribute to implementation of LLMs, RAG, Agentic AI, and related frameworks Manage DevOps pipelines and CI/CD practices in Azure Support delivery of cloud-first applications across Azure, Power Platform, and M365 Research and apply emerging AI and Microsoft technologies to improve product and solution delivery
Sep 22, 2025
Full time
A market leader in AI solutions is seeking a well experienced Lead Developer to join their innovative engineering team. You'll be responsible for providing technical leadership, customer-facing (requirements gathering), solution design, delivery oversight for AI projects and products. You'll take the lead in understanding client processes, solution viability and ensuring technical deliverables align. In addition, you'd work closely with Architects, Project Managers and client stakeholders to deliver scalable and secure AI solutions. Work Type: Hybrid working based in Cheshire, 2-3 days on-site but can be flexible (rest of time WFH). Skills & Experience: A delivery-focused outlook and commercial awareness Experience engaging directly with clients to capture business processes and requirements The ability to balance hands-on coding expertise with solution viability analysis Experience mentoring developers and enforcing coding standards A strong background in .NET, Azure, and modern AI frameworks Excellent communication skills to bridge technical and non-technical stakeholders A passion for innovation and responsible AI practices Responsibilities: Engage directly with client stakeholders to capture and document business process requirements Translate business workflows into viable technical designs, backlog items, and deliverables Assess the feasibility and viability of solutions against business needs, budgets, and technical constraints Provide technical leadership across programmes and projects, coordinating outputs across delivery teams Support architects in solution design and integration patterns Mentor developers, fostering skill development and knowledge transfer Lead backlog refinement, sprint planning, and technical prioritisation activities Oversee quality assurance, code reviews, and unit testing to ensure delivery quality Ensure AI solutions adhere to secure coding, accessibility, and compliance standards Contribute to implementation of LLMs, RAG, Agentic AI, and related frameworks Manage DevOps pipelines and CI/CD practices in Azure Support delivery of cloud-first applications across Azure, Power Platform, and M365 Research and apply emerging AI and Microsoft technologies to improve product and solution delivery
