Lead Forward Deployed Engineer (FDE)

Role overview Lead the design and delivery of production-grade AI agents for enterprise clients, from identifying valuable workflows through rollout and ongoing improvement. The role blends hands-on engineering, architecture, and client leadership, while helping distributed teams deliver governed systems and turning project lessons into reusable tools and practices.

Responsibilities - Map client workflows and design agent solutions, choosing an appropriate level of autonomy and runtime for each use case. - Build integrations and context systems, including MCP servers and reusable agent skills, with suitable access controls and human review. - Lead engineers through delivery, set evaluation criteria, and use test suites to guide development and release decisions. - Instrument agent behavior, quality, latency, and cost; investigate results and drive continuous improvement. - Work with client engineering leaders to align architecture with business needs, cloud environments, and compliance constraints. - Package proven components and delivery patterns so future engagements can build on them.

Requirements - Deep experience building with Claude APIs and agent tooling, including tool use, structured outputs, prompt caching, streaming, the Claude Agent SDK, and MCP servers. - Strong prompt and context engineering, with the ability to make agents reliable against complex enterprise data and long-running tasks. - Experience designing evaluations and using measured results to make engineering decisions. - Proficiency in Python and TypeScript, backend architecture, and cloud deployment; AWS experience is preferred. - Knowledge of enterprise data integration, including when to use retrieval-augmented generation or agentic search against live systems. - Strong understanding of agent security, governance, observability, and risk controls, plus experience leading teams in complex or regulated environments.

Nice to have - Relevant Claude certification; experience in financial services or another regulated industry; production use of managed agents or multi-agent orchestration. - AWS deployments involving IAM, network isolation, or data residency; enterprise rollout of Claude tools; or experience with distributed delivery teams. - Contributions to MCP, agent-skill ecosystems, or other open-source projects.