Director of AI Engineering
RemoteUnited States
Job Summary
Design, build, and deploy end-to-end agentic AI solutions by scoping problems, writing production code, and orchestrating systems across supplier onboarding, clinician activation, sales, finance, and support. Lead a pod of 2-4 engineers while staying hands-on, setting code quality standards and driving velocity in days rather than weeks. Own the AI automation roadmap by identifying high-leverage intervention points, conducting discovery with internal teams, and mapping current-state workflows to design and test operational improvements. Influence company-wide decisions on models, orchestration frameworks, and agent toolkits to address specific Parachute Health challenges. Ship meaningful systems with speed using the latest AI coding tools, ensuring they are fully enabled and maintained by embedded teams.
Required Qualifications
- Software Engineering Foundation: You understand system design, deployment, APIs, data flow, and the full SDLC, and you apply that rigor to AI systems.
- You write and ship production code, not just prompts.
- Agentic Fluency and Engineering Depth: You have hands-on experience with RAG pipelines, vector databases, LLM orchestration (LangChain, LangGraph, or equivalent), voice-agent infrastructure, MCP, and multi-agent coordination.
- You know when to use each and why.
- Hands-On Builder: You have personally built and deployed AI-powered systems that drove real operational outcomes, not only managed the team that built them.
- You can point to concrete throughput or efficiency gains.
- Structured Communicator: You can walk a non-technical stakeholder through what you're building and why it will work, probe their problem to find the real constraint, and translate their feedback into precise technical requirements.
- Player-Coach: You've built and led small, high-output technical teams.
- You know how to hire, onboard, and develop engineers while staying in the work yourself.
- This role is not eligible for employer visa sponsorship.
- Applicants must be legally authorized to work in the United States at the time of application and for the duration of employment.
Desired Qualifications
- Deep ML experience
- business transformation and change-management acumen
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