AI Enablement Engineer (Senior / Staff)

Job Summary

Required Qualifications

• •Built production-quality software in Python, TypeScript, or similar languages
• •Worked hands-on with LLMs, AI assistants, agents, tool calling, structured outputs, RAG, or other applied AI patterns
• •Built internal tools, automations, workflows, developer productivity tooling, AI-enabled applications, or agentic systems
• •Designed practical evaluations, benchmarks, or QA processes for AI workflows or software systems
• •Worked with CI/CD, testing, deployment pipelines, or production release processes
• •Gathered requirements from non-technical stakeholders and translated them into scoped, working technical solutions
• •Enabled teams through documentation, training, office hours, workshops, hackathons, or reusable templates
• •Used AI coding assistants such as Claude Code, Cursor, or similar tools as part of your day-to-day development workflow
• •Operated in fast-moving, ambiguous environments where the path was not already defined
• •You have operated at Senior, Staff, or equivalent scope, driving technical decisions across multiple teams
• •You've built internal AI platforms, agent frameworks, evaluation systems, workflow automation platforms, or developer productivity tooling
• •You've helped a company or team adopt AI tools in a measurable, repeatable way
• •You have experience standing up a centralized prompt library, skill library, workflow library, or knowledge/context hub
• •You've worked with MCP servers, internal tool integrations, RAG systems, or AI agents connected to real business systems
• •You have experience with healthcare data, PHI, HIPAA-aware workflows, or regulated environments
• •You've partnered with security, IT, legal, compliance, or clinical teams to approve and deploy AI tools safely
• •You have a public or internal track record of teaching, writing, workshops, talks, or training that made complex technical ideas accessible
• •You've worked in a startup or high-growth environment where enablement, velocity, and practical judgment mattered
• •You are a force multiplier and measure success by what the whole organization can now build with AI
• •You meet teams where they are, ship the first working example, and turn it into a template others can reuse
• •You reach for the simplest tool that safely solves the workflow
• •You build for safety from the start through guardrails, evaluations, review patterns, and PHI-aware defaults
• •You back adoption claims with evidence, including evals, benchmarks, productivity metrics, and quality improvements
• •You teach as well as you build
• •You can make AI make sense to an engineer, an operations lead, a clinician, and an executive
• •You help people move faster without making patient safety or privacy someone else's problem
• •You create systems that make good AI usage easier and risky AI usage harder
• •We ask that employees be in the office Monday through Thursday to collaborate with their teams while maintaining flexibility where it matters most
• •We operate on a hybrid schedule, working from the office Monday through Thursday, with Fridays designated as work-from-anywhere days

Desired Qualifications

• •You have operated at Senior, Staff, or equivalent scope, driving technical decisions across multiple teams
• •You've built internal AI platforms, agent frameworks, evaluation systems, workflow automation platforms, or developer productivity tooling
• •You've helped a company or team adopt AI tools in a measurable, repeatable way
• •You have experience standing up a centralized prompt library, skill library, workflow library, or knowledge/context hub
• •You've worked with MCP servers, internal tool integrations, RAG systems, or AI agents connected to real business systems
• •You have experience with healthcare data, PHI, HIPAA-aware workflows, or regulated environments
• •You've partnered with security, IT, legal, compliance, or clinical teams to approve and deploy AI tools safely
• •You have a public or internal track record of teaching, writing, workshops, talks, or training that made complex technical ideas accessible
• •You've worked in a startup or high-growth environment where enablement, velocity, and practical judgment mattered