• Hands-on technical fluency. CLIs, APIs, webhooks, SQL, and Python scripting. Working knowledge of LLM and agent behavior — prompting, context, tool use, RAG, MCP, evals, failure modes. Be very comfortable with a cloud platform.
• Trustworthy with elevated access. Least-privilege, auditability, and safe rollbacks are second nature.
• Strong technical and process judgment. You think in outcomes and KPIs, can defend prioritization calls, and are comfortable being the most technical person in a business meeting and the most business-savvy in a technical one.
• Prior experience working hand in hand with businesses to deliver measurable outcomes.
• Hands-on experience with an enterprise agentic platform (CrewAI, LangChain, AWS Bedrock, Claude, Codex) or building directly against a model API.
• Background in product management, solutions engineering, consulting, forward-deployed engineering, or technical operations.
• Experience in regulated environments (HIPAA, SOC 2, GxP, SOX).
• Success in year one
• Success in year one
• Shipped three or more workflows into production that are measurably moving a business KPI, with agent evals and observability in place.
• Domain leadership brings you into planning early, not late.
• Contributed at least one reusable asset another engineer on the team is now using.
• Enabling non builders to become builders using the artifacts you created.