AI Enablement Engineer (Senior / Staff)
Sprinter Health2 months ago
San Francisco, CA, USASenior / Staff+
Base Salary
$180k - $260k/yr
Responsibilities
- Define and drive Sprinter Health’s AI enablement strategy across multiple business and technical functions.
- Embed with teams to identify high-leverage AI use cases and build working technical solutions.
- Build bespoke agents, background workflows, internal tools, automations, and shared knowledge systems.
- Create reusable playbooks, prompt libraries, skill libraries, workflow templates, and reference architectures.
- Evaluate AI tools and make build-versus-buy recommendations based on safety, scalability, cost, and usability.
- Tune AI coding assistants and agentic workflows for company codebases and development practices.
- Build evaluation sets, benchmarks, review patterns, and safe deployment processes for AI systems and workflows.
- Partner with SRE, IT, Security, Legal, and clinical stakeholders on approvals, access patterns, deployment, and PHI-safe guardrails.
- Run office hours, trainings, hackathons, and hands-on enablement sessions.
- Measure AI adoption, productivity gains, quality improvements, and operational impact, and communicate results to leadership.
Requirements
- Production-quality software development experience in Python, TypeScript, or similar languages.
- Hands-on experience with LLMs, AI assistants, agents, tool calling, structured outputs, RAG, or other applied AI patterns.
- Experience building internal tools, automations, workflows, developer productivity tooling, AI-enabled applications, or agentic systems.
- Experience designing evaluations, benchmarks, or QA processes for AI workflows or software systems.
- Experience with CI/CD, testing, deployment pipelines, or production release processes.
- Ability to gather requirements from non-technical stakeholders and translate them into scoped technical solutions.
- Experience enabling teams through documentation, training, office hours, workshops, hackathons, or reusable templates.
- Experience using AI coding assistants such as Claude Code, Cursor, or similar tools.
- Ability to balance speed, safety, usability, maintainability, and cost in technical decisions.
- Clear communication skills for audiences ranging from engineers to executives.
- Experience operating in fast-moving, ambiguous environments.
- Preferred experience operating at Senior, Staff, or equivalent scope and driving technical decisions across multiple teams.
- Preferred experience with internal AI platforms, agent frameworks, evaluation systems, workflow automation platforms, developer productivity tooling, MCP servers, RAG systems, or business-system integrations.
- Healthcare data, PHI, HIPAA-aware workflow, regulated-environment, security, IT, legal, compliance, or clinical collaboration experience is preferred.
- A track record of teaching, writing, workshops, talks, or training that makes complex technical ideas accessible is preferred.
Benefits
- Hybrid Bay Area work arrangement with office attendance Monday through Thursday and work-from-anywhere Fridays.
- Meaningful pre-IPO equity.
- Medical, dental, and vision plans fully paid for employees and dependents.
- Flexible PTO and 10 paid holidays per year.
- 401(k) with match.
- 16-week parental leave for birthing parents and 8 weeks for all other parents.
- HSA and FSA contributions.
- Life insurance and short- and long-term disability coverage.
- Free daily in-office lunch.
- Annual learning stipend.
- Relocation assistance.
Tech Stack
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