Senior AI Engineer

Harnham
Slough, UK
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Software Engineering Cloud Platform System Large Language Models Generative AI Virtual Agents

Job description

You will take ownership of AI initiatives from concept through to production, helping design and deliver solutions that solve real business challenges., * Leading the design and delivery of production-grade Generative AI and AI-powered solutions

  • Owning architecture decisions across AI products and platforms
  • Building and deploying LLM, RAG, and agentic AI systems at enterprise scale
  • Evaluating build versus buy approaches and making pragmatic technology recommendations
  • Working closely with engineering, security, governance, and business stakeholders
  • Driving technical standards, best practices, and reusable AI frameworks
  • Supporting and mentoring engineers across multiple workstreams
  • Contributing to AI strategy and helping prioritise high-value use cases
  • Ensuring solutions are scalable, secure, observable, and production-ready

Requirements

  • Strong commercial experience delivering Generative AI solutions into production
  • Proven capability leading end-to-end AI projects from discovery through deployment
  • Deep understanding of LLMs, RAG architectures, agentic AI, orchestration, prompting, and evaluation
  • Strong software engineering foundations, including APIs, cloud architectures, and system design
  • Experience making architecture and technology decisions within complex environments
  • Ability to operate effectively in ambiguous and rapidly evolving problem spaces
  • Experience collaborating with security, governance, compliance, and data protection teams
  • Strong communication skills with the ability to engage technical and non-technical stakeholders
  • Experience within enterprise-scale organisations, ideally in regulated environments
  • Exposure to AWS and modern AI engineering practices is highly desirable

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