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Technical Deployment Lead

Anthropic· Applied AI
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Hybrid (London, UK)£165k - £230kFull-timePosted 2mo ago

About the role

Technical Deployment Lead on the Forward Deployed Engineering team responsible for delivering custom agentic AI solutions for enterprise customers, driving delivery plans, scope, stakeholders, and organizational delivery in complex enterprise environments.

Responsibilities

  • Own the technical delivery plan for each engagement. Work from the signed SOW to a sequenced roadmap with clear milestones, dependencies, success criteria, and value hypotheses that FDEs execute against.
  • Lead delivery discovery. Map customer workflows and constraints in depth, pressure-test the scoped MVP against what you find, and shape the solution architecture with the FDEs.
  • Run day-to-day engineering execution. Drive delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.
  • Own product scoping during delivery. Author requirements, prioritize the engineering backlog, manage scope against success criteria, and hold the bar for what good looks like for the people and enterprises who will use the product.
  • Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders.
  • Own value measurement and ROI. Define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors.
  • Contribute reusable delivery patterns. Capture what works on your engagements and feed field signal to the Programs Leads, Product, and Research.
  • Navigate enterprise and regulatory complexity. Security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics.
  • Manage scope and change. Handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed.
  • Run engagement-level delivery operations: sprint ceremonies, milestone reviews, and engagement reporting that feed the team's post-sales cadence and dashboards.
  • Travel to customer sites. Build relationships, unblock delivery, and accelerate adoption. (up to 25–50% travel expected).

Qualifications

  • Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role.
  • Operate like the CEO of your engagement. You take initiative without a mandate, make decisions with incomplete information, and lead rather than wait for instructions.
  • Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.
  • Have experience in a specialized vertical (life sciences, pharmaceutical, retail, mining, agriculture, etc.).
  • Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs.
  • Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making - ideally across multiple workstreams in regulated industries.
  • Have executive presence - polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments.
  • Thrive in ambiguity and bring structure where none exists.
  • Have a builder's mindset - you're here to create a function, not just join one.

Skills

Required:Technical project deliveryStakeholder managementSolution architecture collaboration
Nice to have:Regulatory and enterprise navigation

Benefits

  • Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space.
Last updated Sep 2, 2026. Interested? Apply on the company site.

About Anthropic

building reliable, interpretable, and steerable AI systems

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

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