AI Engineer / AI Analyst

Step into a high-impact role where engineering meets innovation. As an AI Engineer / Analyst, you’ll play a key part in evaluating, building, and scaling AI solutions that drive real business value. From exploring cutting-edge tools to embedding AI into enterprise systems, you’ll help shape how AI is adopted across the organisation. This is a unique opportunity to work at the intersection of technology, governance, and strategy ensuring AI is not only powerful, but responsible, secure, and scalable. We're looking for people who are full of ideas, want to challenge the norm and work to our core values… Dare to be Bold - We always bring courage to work to reach for the unbelievable. Uphold Integrity - We promote accountability and respect to raise the bar for ourselves and the industry. Never Settle - We relentlessly push forward to create the extraordinary in every detail. Celebrate Perspectives - We combine diverse talent to look at the familiar in unfamiliar ways. Win as a Team – We bring out the best in each other to share collective success.

• Explore and evaluate emerging AI tools, platforms, and agent-based solutions to identify opportunities for the business.
• Design, build, and integrate AI-powered workflows, services, and applications into enterprise systems.
• Help shape and develop internal AI platforms, including agent architectures, permissions, and governance guardrails.
• Guide AI initiatives through structured evaluation and approval processes, ensuring alignment with technical and governance standards.
• Collaborate with teams across Architecture, Security, DevOps, Legal, Privacy, and the wider business to deliver well-rounded AI solutions.
• Translate complex or ambiguous business needs into clear technical requirements, success metrics, and deliverables.
• Monitor performance, adoption, and usage of AI solutions, identifying trends, risks, and opportunities for optimisation.
• Maintain clear documentation, including AI use cases, tool registries, and lifecycle records, ensuring audit-ready standards.
• Support the development of a centralised AI knowledge base to drive consistency and accelerate adoption across teams.
• Contribute to continuous improvement of AI governance, development practices, and delivery frameworks.

• Experience across software engineering, AI/ML, or related enterprise technology environments. (required)
• Strong hands-on development skills (e.g., Python and/or TypeScript/Node.js), with experience building APIs, services, and integrations. (required)
• Practical experience working with Generative AI and LLM-based applications (e.g., agents, embeddings, prompt design, RAG architectures). (required)
• Familiarity with leading AI platforms and models (e.g., OpenAI, Anthropic, Microsoft Copilot, Google Gemini, or similar cloud AI services). (required)
• An understanding of how to design and orchestrate AI-driven workflows or automation solutions within business environments. (required)
• A structured and analytical mindset, with the ability to turn complex ideas into clear, actionable outputs. (required)
• Strong documentation and organisational skills, with attention to detail and an ability to create audit-ready artefacts. (required)
• Awareness of governance, risk, and compliance concepts, particularly in relation to AI, data, and security. (required)
• Solid understanding of modern development practices (e.g., Git, CI/CD, cloud environments, containerisation). (required)
• Strong communication skills, with the ability to collaborate effectively across technical and non-technical stakeholders. (required)
• A proactive, curious mindset and a passion for staying up to date in the rapidly evolving AI landscape. (required)
• Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel). (preferred)
• Familiarity with Responsible AI frameworks or regulatory landscapes (e.g., NIST AI RMF, EU AI Act). (preferred)
• Exposure to AI cost management or usage optimisation practices. (preferred)
• Experience with multi-agent systems, observability tools, or AI evaluation frameworks. (preferred)
• Knowledge of API architecture patterns or multi-tenant system design. (preferred)

• Annual performance bonus
• 25 days' holiday plus bank holidays
• Hybrid working (3 days a week in the office)
• 1 day paid leave to work on charitable projects
• 1 day paid for personal celebration e.g. birthdays
• Half Day for Health (encouraging you to take time away for you & your wellbeing)
• Up to 8% employer pension contributions
• A reward platform offering a cycle to work scheme and shopping and lifestyle discounts/cashback
• Remote GP Access
• Private Medical Insurance
• Elective Benefits: Tastecard/ Travel/Dental Insurance/ Give As You Earn
• Study Support
• Employee Assistance Programme (EAP)