multiple projects and teams. This role suits someone who wants to create real AI solutions not just theorise about them.
Key Responsibilities
- AI Solution Delivery Lead the design, development and deployment of AI-integrated applications using modern full-stack technologies.
- Build features powered by LLMs, agentic workflows, RAG patterns and MCP integrations.
- Work directly with customers to shape requirements and translate them into working software.
- Integrate Azure AI services such as Azure OpenAI, Cognitive Services, Azure ML and AI Search.
- Provide technical leadership, ensuring engineering rigour, code quality and best practice.
- Support pre-sales activity through prototyping, research and proof-of-concept development.
- Shaping AI Delivery Models Define and prove a scalable, repeatable pattern for delivering AI solutions across the organisation.
- Build reusable components, accelerators and tools to increase delivery speed and consistency.
- Evaluate emerging AI technologies and introduce best-fit approaches into engineering practice.
- Champion AI-assisted development techniques including vibe coding, agentic development and AI-driven testing.
- Mentor and upskill developers as AI delivery expands into the wider engineering team.
- Contribute to product and delivery strategy, identifying opportunities to package AI capabilities.
Required Skills & Experience
- Strong full-stack development experience (React/Node.js, .NET/C#, Python/FastAPI).
- Proven background delivering production software in client-facing environments.
- Experience with LLM integration, prompt engineering, RAG or agentic AI development.
- Familiarity with AI-assisted development tools (GitHub Copilot, Claude, Cursor).
- Hands‑on experience with Azure cloud services and CI/CD pipelines.
- Ability to provide technical leadership and mentor others.
- Excellent communication and stakeholder management skills.
- Comfortable working autonomously and shaping ambiguity into structured delivery.
Desirable Azure AI Engineer certification
Understanding of MCP, vector databases and AI evaluation/testing approaches.
Experience mentoring or leading small development teams.
Why Candidates Are Attracted to This Environment
- The organisation offers strong development culture, structured learning pathways, competitive salary progression, generous leave, wellbeing support, health cash plans, volunteering days, life assurance, EV and tech schemes, retail discounts, onsite gyms (where available), and regular social events.
Its a people‑first environment with genuine investment in growth, wellbeing and long-term career development.
Job Description
Senior AI Developer
Hybrid - Reading
About the Company
A leading UK technology and managed services organisation delivering modern cloud, data, AI and application solutions. The business focuses on helping customers unlock the full potential of Microsoft‑aligned innovation, combining strong engineering capability with a people‑first culture.
Role Overview
This is a hands‑on Senior AI Developer role for someone who wants to build production‑grade AI solutions using modern engineering practices. Youll work directly with customers to design and deliver applications that integrate LLMs, agentic systems and Azure AI services.Initially, youll join an innovation‑focused team to establish a mature, repeatable pattern for AI delivery. Once proven, youll transition into the wider delivery function to scale these practices across
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