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Sr. Forward Deployed AI Engineer

United Kingdom, London · Job Posted June 14, 2026
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Job Responsibility

  • Lead complex, multi-system AI deployments end-to-end scope, architect, build, validate, and manage the customer relationship throughout.
  • Own the AI workshop program for your pod, customize modules per customer, lead technical sessions, translate outputs into production requirements, evolve content from field learning.
  • Architect multi-agent solutions selecting the right coordination pattern for each customer’s workflow characteristics and compliance requirements.
  • Design client-specific and industry-specific MCP resource packs that serve personalized intelligence from the server so every connected AI surface gets smarter for that customer automatically.
  • Own Deployment Kit quality for your pod. If a kit is not documented well enough for a solutions consultant with no engineering background to follow, it isn’t done.
  • Lead Solutions Enablement Sprints: transfer AI deployment patterns to solutions consultants and partners with training materials and certification criteria.
  • Drive the intelligence loop: author strategic memos, present field findings weekly, contribute Agent Bricks and Skills, file RFCs for platform improvements.
  • Mentor junior FDEs on customer engagements, code reviews, and Deployment Kit quality.

Requirements

  • 6–10+ years production software engineering, including 3+ years deploying AI/ML to production. Deep Python
  • strong TypeScript/JavaScript.
  • Proven track record leading complex enterprise technical engagements. You’ve managed customer relationships, navigated security reviews, and delivered production systems organisations depend on.
  • Deep production LLM experience: multi-agent orchestration, MCP/tool-use, RAG optimisation, evaluation frameworks, agent deployment at scale.
  • System architecture expertise spanning enterprise systems, cloud infrastructure, and AI services explainable to a CIO and a junior engineer.
  • Demonstrated ability to create reusable technical assets that others use in production. You think in platforms, not projects.
  • Strong written and verbal communication. Architecture documents, runbooks, strategic memos, training materials. Your Deployment Kits are your portfolio.
  • You leave teams better than you found them. You make sure the people you work with understand what was built, why it works, and how to own it without you.
  • Ability to travel. This role requires domestic and international travel approximately 25–50% of the time.
  • Elligible to work in the UK on an ongoing basis
  • BS or MS in Computer Science, a related field, or equivalent industry experience

Nice to have

  • Experience founding or scaling an FDE/solutions engineering function.
  • Technical founder background. Databricks, AWS Bedrock, or Temporal experience.
  • Deep domain knowledge in healthcare, financial services, or government. Agent framework contributions (Strands SDK, LangChain, open-source MCP servers).
  • Proficiency in German/French language will be an added advantage
  • Familiarity of AI governance, ethics, and regulatory requirements (e.g. GDPR, UK/EU AI Act)

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