Lead, AI Software Engineer

How You’ll Make An Impact

At Strive Health, patients come first. We’re on a mission to transform chronic conditions by identifying risk earlier, coordinating thoughtful care, and supporting people through every stage of their health journey. Our work reduces emergency visits, improves outcomes, and helps patients live fuller lives. You’ll work alongside passionate Strivers who care deeply about making an impact, show up for one another as One Team, and find ways to elevate the everyday.

If you’re looking for meaningful work where your contributions truly matter, you’ll feel right at home at Strive!

• Hybrid-Remote Flexibility – Work from home while fulfilling in-person needs at the office, clinic, or patient home visits.
• Comprehensive Benefits – Medical, dental, and vision insurance, employee assistance programs, employer-paid and voluntary life and disability insurance, plus health and flexible spending accounts.
• Financial & Retirement Support – Competitive compensation with a performance-based bonus program, 401k with employer match, and financial wellness resources.
• Time Off & Leave – Paid holidays, vacation time, sick time, and paid birth giving, bonding, sabbatical, and living donor leaves.
• Wellness & Growth – Family forming services through Maven Maternity at no cost and physical wellness perks, mental health support, and an annual professional development stipend.

To learn more about our offerings, .

As a Lead AI Software Engineer, you will serve as a senior individual contributor and player‑coach in the AI Center of Excellence, partnering across Technology and the business to embed AI into how Strive builds products and delivers care‑supporting tools. You will help reshape the software development lifecycle and collaborate with product, engineering, and clinical leaders to identify high‑leverage AI opportunities.

• Coach and upskill engineers across Strive on AI‑assisted coding, agentic workflows, and modern context engineering practices, focusing on safe, repeatable patterns teams can adopt independently.
• Lead the rollout, configuration, and ongoing maturation of our AI‑assisted development tooling (e.g., Claude Code), experimenting with skills, agents, and MCP servers, and translating findings into best practices.
• Help define and evangelize behavior‑driven and spec‑driven development practices, including AI‑readable specs, architecture diagrams, and ADRs that make intent and context clear to both humans and AI.
• Partner with engineering leadership to introduce AI‑assisted code reviews into our Git Lab merge request workflow, providing coaching feedback for junior engineers while maintaining quality and safety.
• Design and build reference implementations of AI‑forward applications – generative, agentic, and RAG‑based – that demonstrate possibilities and create reusable patterns, libraries, and templates for other teams.
• Collaborate with Product, VP of Engineering, VP of Product, CTO, and other leaders to prioritize and sequence high‑leverage AI opportunities in the product and platform roadmap.
• Work closely with security, compliance, and data teams to ensure AI tools handling PHI and other sensitive data meet Strive’s security, privacy and governance requirements.
• Communicate complex AI topics clearly to non‑technical audiences, translating technical trade‑offs into language that supports informed decision‑making.
• Contribute to standards and documentation for AI usage across engineering, including coding guidelines, prompt and context patterns, agent/skill catalogs, and runbooks for common AI‑assisted workflows.
• Meet in person with internal stakeholders to facilitate team and business priorities, including training sessions, workshops, and demos as needed.

• 7+ years of experience in software engineering, data engineering, machine learning engineering, or a closely related field, preferably in healthcare or other regulated technology environments.
• 2+ years of hands‑on experience building and operating AI‑powered systems (e.g., generative AI, agentic workflows, RAG applications), beyond surface‑level usage of coding assistants.
• Ability to…