Sr. Staff AI Engineer

Transform healthcare with us.

At Qualified Health, we're redefining what's possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change.

Job Summary:

We’re hiring a Sr. Staff 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.

Why Join Qualified Health?

This is an opportunity to join a fast-growing company and a world-class team, that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers.

Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation.

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.