Sr. Staff AI Engineer

The role

You will set the technical direction for how Qualified Health builds agentic AI systems across multiple product lines. You will define shared architecture and engineering standards, and stay hands-on with the hardest technical problems.

What you will do

• Define the technical architecture and roadmap for agentic workflow infrastructure shared across multiple product lines.
• Partner with engineering leadership on build-vs-buy and platform investment decisions.
• Set engineering standards for LLM evaluation, deployment, safety, and monitoring across several teams, and help shape QH's AI governance approach.
• Act as a technical escalation point for high-ambiguity problems that cross product lines.
• Mentor and develop Staff and Senior engineers and contribute to the applied AI career ladder.
• Track the frontier (OpenAI, Anthropic, Mistral, etc.) and decide what is worth adopting at QH.

Required qualifications

• Deep software engineering foundation (Python required) with a track record of architecting systems used across multiple teams.
• 9+ years building production software and ML engineering, including 2+ years of hands-on production LLM or agentic work.
• Strong foundation in machine learning fundamentals, with hands-on experience developing, training, fine-tuning, and evaluating ML models.
• Proven experience taking machine learning models from experimentation through production deployment, scaling, monitoring, and ongoing optimization, including at the platform level.
• Strong understanding of ML pipelines, model serving, and MLOps.
• Deep expertise in workflow automation for AI-driven systems at a platform level.
• Proven experience setting technical direction and standards adopted across more than one product line.
• Demonstrated ability to operate with high autonomy on ambiguous, high-stakes problems.
• Track record influencing technical decisions with engineering leadership and non-technical stakeholders.

Nice to have

• Bachelor's degree + 11 years OR Master's degree + 9 years in Computer Science, Engineering, or related field (or equivalent experience).
• Recognized expertise (talks, publications, open source, prior platform-level roles) in applied AI or agentic systems.
• Experience building AI infrastructure in a regulated or high-stakes domain (healthcare, finance, etc.).
• History of building or scaling a technical function in a startup.
• Experience mentoring Staff-level engineers.

Benefits

• Competitive salaries with equity packages
• Robust medical, dental and vision insurance
• Flexible working hours
• Hybrid work options
• Inclusive environment that fosters creativity and innovation

Before you apply

• Apply by sending your resume through the application link in the posting.

About the company

Qualified Health builds infrastructure for safe Generative AI in healthcare, including AI governance, healthcare-specific agent creation and real-time algorithm monitoring. It works with leading health systems and is backed by premier investors.