AI Enablement Architect, Senior/Staff

Sprinter Health; San Francisco (CA); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Meaningful pre‑IPO equity

Medical, dental, and vision plans 100%

Flexible PTO

401(k) with match

Parental leave

HSA + FSA contributions

Life insurance, disability coverage

Free daily lunch in‑office

Relocation assistance

Job summary

Sprinter Health is hiring an AI Enablement Engineer to help every team build, adopt, and safely scale AI-powered workflows. You’ll translate business needs into practical systems, working across engineering, operations, clinical, data, and finance to turn opportunities into repeatable patterns.

This hands-on role blends production Python/TypeScript work with workshops and trainings, while establishing guardrails, PHI-safe practices, and scalable deployment.

Qualifications

• Built production‑quality software in Python or TypeScript.
• 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 day‑to‑day development workflow.
• Made practical tradeoffs between speed, safety, usability, maintainability, and cost.
• Communicated technical concepts clearly to engineers and executives.
• Operated in fast‑moving, ambiguous environments where the path was not defined

Responsibilities

• Lead defining and driving Sprinter’s AI enablement strategy across functions.
• Embed with teams to understand workflows and translate business needs into technical solutions.
• Build bespoke agents, background workflows, internal tools, and automations.
• Create reusable playbooks, prompt libraries, skill libraries, and workflow templates.
• Establish shared context and knowledge systems tied to Sprinter data and codebases.
• Evaluate, configure, and recommend AI tools with build‑versus‑buy decisions.
• Tune AI coding assistants and agentic workflows to Sprinter’s conventions.
• Build evaluation sets, benchmarks, and review patterns to separate useful AI outputs.
• Establish safe deployment patterns for AI‑built apps and data tables.
• Partner with SRE, IT, Security, Legal, and clinical stakeholders on tool approval.
• Run office hours, trainings, hackathons, and enablement sessions to raise AI fluency.
• Measure adoption and productivity gains beyond usage metrics.
• Communicate AI strategy, risks, and opportunities to all levels of staff.
• Help non‑experts move quickly while ensuring patient safety and privacy

Skills

Python

TypeScript

LLMs / AI tools

Agent design

Workflow automation

Prompt engineering

Security & PHI awareness

Cross-functional collaboration

Job description

Sprinter Health is hiring an AI Enablement Engineer to help every team build, adopt, and safely scale AI-powered workflows. You’ll translate business needs into practical systems, working across engineering, operations, clinical, data, and finance to turn opportunities into repeatable patterns.

This hands-on role blends production Python/TypeScript work with workshops and trainings, while establishing guardrails, PHI-safe practices, and scalable deployment.