Senior AI Engineer

Harnham; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Harnham is seeking a Senior & Lead AI Engineer to shape the AI function across a large, commercially focused organisation. You will own AI initiatives from concept to production, delivering production-grade AI solutions and setting architectural direction.

You will collaborate with engineering, security, governance, and data teams to drive high-value use cases, ensuring scalable, secure, and observable AI systems. Strong leadership and communication are essential.

Qualifications

• Strong track record delivering Generative AI solutions into production.
• Experience leading AI projects from discovery to deployment.
• Deep understanding of LLMs, RAG, agentic AI, orchestration, prompting, and evaluation.
• Strong software engineering foundations including APIs, cloud architectures and system design.
• Experience making architecture decisions in complex environments.
• Ability to work in ambiguous, rapidly evolving spaces.
• Collaboration with security, governance, compliance and data protection teams.
• Excellent communication with technical and non-technical stakeholders.
• Experience in enterprise-scale organisations, ideally regulated environments.

Responsibilities

• Lead the design and delivery of production-grade Generative AI and AI-powered solutions.
• Own architecture decisions across AI products and platforms.
• Build and deploy enterprise-scale LLM, RAG, and agentic AI systems.
• Evaluate build-vs-buy options and provide pragmatic recommendations.
• Collaborate with engineering, security, governance and business stakeholders.
• Drive standards, best practices, and reusable AI frameworks.
• Mentor engineers across multiple workstreams.
• Contribute to AI strategy and prioritise high-value use cases.
• Ensure solutions are scalable, secure, observable, and production-ready.

Skills

Generative AI

End-to-end AI projects

LLMs & RAG

System design

APIs & cloud architectures

Leadership

Stakeholder engagement

Security & governance collaboration

Tools

AWS

LLM tooling

APIs

Job description

Senior & Lead AI Engineer

This is an opportunity to join a growing AI function at a business investing heavily in artificial intelligence, automation, and digital transformation. You will play a key role in shaping technical direction, delivering production-grade AI solutions, and influencing how AI is embedded across a large, commercially focused organisation.

The Role

You will take ownership of AI initiatives from concept through to production, helping design and deliver solutions that solve real business challenges.

Responsibilities include:

• 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

Your Skills & Experience

You will bring:

• 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