Principal AI Engineer

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.

We offer a supportive environment that values innovation and collaboration.

The Principal AI Engineer is a senior individual contributor who helps Strive turn AI into real operating leverage across the business. This role will work as a forward‑deployed AI engineer embedded with business and functional leaders to identify high‑value problems, rapidly prototype and deploy practical AI solutions, and help teams adopt new ways of working enabled by enterprise AI platforms.

This role is not accountable for Strive's core product roadmaps. Instead, the engineer operates horizontally across the company, partnering with teams in clinical operations, corporate functions, care model support, and technology to automate workflows, build internal agents and copilots, improve decision support, and accelerate execution. The engineer combines strong hands‑on AI engineering capability with sound judgment about what is worth building, how to deploy it safely, and how to help others use AI effectively.

Reporting to the VP, Engineering, the role also helps shape Strive's broader AI enablement strategy by influencing platform and tooling recommendations, establishing repeatable patterns for safe and effective AI deployment, training technical and non‑technical users, and serving as an internal evangelist for AI transformation.

• Partner directly with leaders across business units to identify, prioritize, and sequence high‑leverage AI opportunities that reduce manual work, improve speed, and increase quality.
• Act as a forward‑deployed AI engineer, embedding with teams to understand workflows in detail and translate them into practical automations, copilots, agents, and decision‑support tools.
• Design, build, and deploy internal AI‑enabled solutions using enterprise platforms such as Claude Code, Glean, retrieval‑based systems, agentic workflows, and orchestration frameworks.
• Create reusable patterns, prompts, skills, templates, runbooks, and reference implementations so successful approaches can be adopted repeatedly; help business teams replace repetitive administrative effort with AI‑assisted workflows while preserving the human judgment and relationships that matter most.
• Work closely with engineering, data, security, compliance, and clinical stakeholders to ensure AI solutions are safe, governed, maintainable, and appropriate for regulated healthcare environments.
• Influence enterprise AI tool selection, evaluation, rollout, and usage standards based on hands‑on experience and measurable business impact.
• Train and enable both technical and non‑technical users on how to use AI tools effectively, responsibly, and with the right expectations for quality, risk, and oversight.
• Communicate complex AI concepts clearly to executives, clinicians, operators, and frontline…