Senior AI Engineer, Location AI
Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips…
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.
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
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
Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.
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