Sr. Staff AI Engineer

Qualified Health Pbc
Palo Alto, CA
Hybrid

In the 12 months to 30 Jun 2026, Qualified Health filed 1 H-1B position titled "Applied AI Engineer". Source: U.S. Department of Labor, LCA disclosure data. A record of filings already made, not a commitment to sponsor.

Who this role is best for

A natural match if you have hands-on experience with agentic AI systems and a track record in healthcare or regulated domains. This is a senior-level role requiring cross-functional leadership and technical autonomy in a fast-paced, mission-driven environment.

Best fit for

  • Candidates with 9+ years in ML engineering and a focus on agentic systems
    — “9+ years building production software and ML engineering, including 2+ years of hands-on production LLM or agentic work.”
  • Individuals who have defined technical architecture across multiple product lines
    — “Define the technical architecture and roadmap for agentic workflow infrastructure shared across multiple product lines.”
  • Professionals with experience in regulated domains like healthcare or finance
    — “Experience building AI infrastructure in a regulated or high-stakes domain (healthcare, finance, etc.).”

Things to consider

  • The role requires significant autonomy in decision-making for high-stakes problems
    — “Demonstrated ability to operate with high autonomy on ambiguous, high-stakes problems.”
  • Equity and benefits are part of the compensation package
    — “eligible for equity and benefits.”

How to stand out

  • Highlight your experience in setting cross-team engineering standards and governance frameworks
    — “Set engineering standards for LLM evaluation, deployment, safety, and monitoring across several teams.”
  • Emphasize your track record in deploying and scaling ML models at a platform level
    — “Proven experience taking machine learning models from experimentation and development through production deployment, scaling, monitoring.”
  • Showcase your ability to influence technical decisions with leadership and stakeholders
    — “Track record influencing technical decisions with engineering leadership and non-technical stakeholders.”
  • Demonstrate your expertise in agentic systems through open source or prior platform roles
    — “Recognized expertise (talks, publications, open source, prior platform-level roles) in applied AI or agentic systems.”
  • Position yourself as a leader who can guide and mentor senior engineers
    — “Mentor and develop Staff and Senior engineers and contribute to the applied AI career ladder.”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Define technical architecture and roadmap for agentic workflow infrastructure
  • Set engineering standards for LLM evaluation and deployment
  • Act as a technical escalation point for high-ambiguity problems
  • Mentor and develop Staff and Senior engineers
  • Track the frontier of AI advancements
Typical background
Deep software engineering foundation9+ years building production software and ML engineeringStrong foundation in machine learning fundamentals

Skills & requirements

Required

Software EngineeringMachine LearningLLM EvaluationAgentic SystemsTechnical LeadershipPlatform InvestmentAI GovernanceMlopsWorkflow AutomationTechnical Decision-making

Preferred

Healthcare-specific AIRegulated Domain ExperienceStartup Technical Function BuildingMentorship

Stack & domain

PythonSoftware EngineeringMachine LearningLLM EvaluationDeploymentSafetyMonitoringAgentic Workflow InfrastructurePlatform InvestmentAI GovernanceAgentic SystemsAI InfrastructureMlopsWorkflow AutomationHealthcareGenerative AIAi-driven SystemsAgentic WorkCommunicationCollaborationProblem-solvingMentoringInfluenceAutonomyHigh-stakes Problem-solvingAIHealthcare-specific Agent CreationReal-time Algorithm MonitoringHealth SystemsPatient CareLLM

About the role

Original posting from Qualified Health Pbc via Ashby

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.

This is more than just a job. It's an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you're ambitious, innovative, and ready to move fast, we'd love to have you on board.

Join us in shaping the future of healthcare.

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.

OUR COMMITMENT TO DIVERSITY

Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.

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.

Source: Qualified Health Pbc careers (Ashby)

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