Principal AI Engineer
Denver, CO Hybrid
$130,000–$196,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
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.
What you'll bring
- Bachelor's Degree in computer science, engineering, data science, or a related technical field, or equivalent practical experience.
- 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.
- Demonstrated ability to operate as a senior individual contributor in ambiguous environments, independently driving work from problem framing through deployment and adoption.
- 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.
- Ability to communicate clearly with both technical and non-technical audiences and to influence without formal authority.
- Latency < 60 ms.
- Ability to travel and be onsite to meet business needs.
- You have strong judgment about what to build, what not to build, and how to maximize practical value from AI inside a real business.
- You are highly hands-on and enjoy turning messy operating problems into working systems that people actually use.
- You are energized by working side-by-side with teams, earning trust quickly, and helping others adopt better ways of working.