Job Summary:We're hiring a
Sr. Staff Applied AI Engineer to set the technical direction for how Qualified Health builds agentic AI systems across multiple product lines. You'll define shared architecture and engineering standards, work with engineering leadership on platform investment, and remain hands-on with the hardest technical problem
Key Responsibilities- 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. Experience may include traditional ML, deep learning, predictive modeling, NLP, or other applied ML disciplines.
- Proven experience taking machine learning models from experimentation and development 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.
Desirable Skills- 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.
Pay & Benefits: The pay range for this role is between $250,000 and 310,000, depending on skills, qualifications, experience, and location. This role is also eligible for equity and benefits.
Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.
