As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries.
You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes. This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion.
You will champion our mission in the field, ensure world-class delivery, and bring insights back to our product and research teams on a regular basis. You'll own engagements end-to-end, from SOW through production deployment.
You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organisational complexity that comes with deploying AI agents in enterprise environments.
Responsibilities:
- Manage the technical delivery plan for each engagement.
- Structure the SOW by clearly defining the scope, steps, dependencies, success criteria, and value hypotheses.
- Translate customer commercial objectives into a sequenced roadmap that our FDEs execute.
- Supervise technical discovery: map customer workflows, identify constraints, define the MVP scope, and shape the solution architecture for custom agent deployments.
- Lead the execution and delivery of daily engineering work within Anthropic and customer teams. Ensure project progress is smooth and sequenced. Make real-time trade-offs on scope and priority to preserve the critical path.
- Ensure product scope for field missions: define the MVP, write requirements documentation, prioritise the engineering backlog, and manage scope against success criteria as requirements evolve. Own the customer relationship throughout delivery. Organise executive briefings, manage communications with stakeholders regarding technical leads and supply, and represent Anthropic remote to senior commercial and technical executives in terms of technical credibility.
- Master value measurement and ROI: define impact hypotheses, establish baselines, and key performance indicators, conduct pre- and post-deployment measurements, and communicate results to executive sponsors.
- BOYD reusable solution patterns, evaluation frameworks, and technical manuals. Record best practices from various interactions and transmit signals from the field to Product and Research teams to improve our platform and models.
Navigating enterprise and regulatory complexity: security audits, legal approvals, procurement processes, compliance requirements, and organisational dynamics.
Manage scope and change: manage evolving requirements, define expectations, negotiate contract modifications, identify risks upfront, and signal them with clear context, when necessary.
Manage delivery operations: sprint ceremonies, step reviews, and progress reports.
Visit customer sites to build relationships, unlock deliveries, and accelerate adoption (target 25-50%).
Profile:
- More than 5 years of technical leadership experience with customers. This can include technical engagement management, technical program management, or technical product management, founders/startups, technical profiles, professional services, consulting, or enterprise software.
- Have deployed AI-based agent solutions, ML, or LLM. You understand applicable models, integration approaches, and reality on the ground.
- Can hold architecture conversations with engineering stakeholders, evaluate technical trade-offs, and test technical decisions under pressure. You won't write production code, but will be responsible for leading technical direction of engagements alongside Forward Deployed Engineers.
- Have experience delivering complex, high-stakes technical projects for enterprise customers, whose results depend on close coordination and rapid decision-making, ideally in multiple activities within regulated sectors.
- Have an assertive personality: you're comfortable, credible, and able to represent Anthropic in high-stakes environments.
- Overcome ambiguous contexts and bring structure where there isn't.
- Have a builder mindset: you're here to create a function, not occupy it.
Additional assets:
- Experience in financial services, healthcare, life sciences, or pharmaceutical industries.
- Experience in a field-deployed engineering organisation or professional services and consulting firms.
- Exceptional understanding of LLM capabilities and limitations.
- Experience with regulated industries and compliance requirements.
- Experience managing delivery teams with integrated engineers on customer sites.
- Familiarity with AI agent frameworks, usage tool models, and orchestration architectures.
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