Principal AI Engineer

8+ years of experience in software engineering, machine learning engineering, data engineering, solutions engineering, or a closely related field.

2+ years of hands-on experience building and deploying AI-powered systems, including generative AI, retrieval-augmented systems, agentic workflows, or AI-enabled automations.

Strong software engineering fundamentals with practical experience building production-quality tools, services, or workflows.

Experience partnering directly with business stakeholders to translate operational pain points into technical solutions.

Internet Connectivity - Min Speeds: 3.8Mbps/3.0Mbps (up/down); Latency < 60 ms.

Practical experience with retrieval-augmented generation, prompt and context design, evaluation methods, and guardrails for production AI systems.

Hybrid-Remote Flexibility

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Work from home while fulfilling in-person needs at the office, clinic, or patient home visits.

– 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

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 such as Claude Code, Glean, and related tools.

This role is not accountable for Strive's core product roadmaps.

Instead, they will operate 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.

They will combine 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, this role will also help 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.