Python · Docker · Kubernetes · AWS · Azure
ABOUT THE ROLE
Join an AI-focused team delivering automation solutions directly within customer environments. You will guide deployments from workflow discovery through production, helping organizations improve complex operational processes with AI agents.
WHAT YOU'LL DO
- Own customer delivery from kickoff and scoping through implementation and go-live.
- Map workflows, identify automation opportunities and blockers, and redesign processes where needed.
- Translate business logic into agent actions, decision rules, exception handling, and fallbacks.
- Configure agents for ERPs, portals, spreadsheets, email, and other systems, writing integration code and prototypes as needed.
- Debug and improve production agents, tracking measurable outcomes and iterating quickly.
- Build trusted relationships with customer stakeholders, lead working sessions, and guide scope and account expansion.
- Document reusable deployment patterns and share recurring customer needs with Product and Engineering.
WHAT WE'RE LOOKING FOR
- Five to eight years of experience in forward deployed engineering, applied AI, technical consulting, or a similar hands-on delivery role.
- Production experience shipping AI or agentic systems in customer environments, including ownership of scoping, implementation, and go-live.
- Hands-on expertise with LLMs, agent frameworks, prompt engineering, evaluations, MCP, APIs, and retrieval-augmented generation.
- Integration and scripting experience with Python, JavaScript or TypeScript, SQL, REST APIs, JSON, and webhooks.
- Customer-facing de