Lead Forward Deployed Engineer

Responsibilities

• Embed with client business and technical teams to pinpoint high-value problems and own them end to end, from discovery and specification through architecture, build, production, and monitoring
• Map actual business processes, including their exceptions, and determine which steps to automate, which to keep with a human in the loop, and which to leave to people
• Evaluate feasibility and recommend the most suitable approach, whether agentic AI, deterministic workflows, traditional machine learning, or no AI at all
• Design end-to-end solution architectures spanning models, orchestration, data and retrieval, enterprise integrations, identity, security, observability, and cost
• Personally build, test, and ship production-grade, full-stack AI applications on clients' existing cloud and AI platforms
• Implement agent workflows, retrieval systems, tool integrations, evaluation frameworks, guardrails, monitoring, and human-in-the-loop controls
• Apply AI coding agents and agentic engineering practices to speed up delivery, and review AI-generated code with the same rigor as human-written code
• Build on shared platforms and reusable components rather than from scratch, and decide what stays specific to a client and what should be generalized for future engagements
• Define acceptance criteria, measure technical performance and business outcomes, and report results honestly, including when they fall short
• Lead technical workshops, architecture reviews, proofs of value, and solution demonstrations for client engineers, architects, business owners, and executives

Languages