Sr. Staff AI Engineer

present of AI; Palo Alto (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

Qualified Health seeks a senior software and ML leader to set the technical direction for agentic AI systems spanning multiple product lines. You will design shared architecture and standards while still writing code on the hardest problems, guiding senior engineers and influencing both technical and non-technical leaders.

The role centers on governance, evaluation, and platform tradeoffs, mentoring engineers as applied AI practices mature, and delivering production LLM and agent work, ML

Qualifications

• Extensive production software and ML engineering experience.
• Hands-on work with large language models and agents.
• Experience guiding senior engineers and influencing leadership.

Responsibilities

• Design shared architecture and standards for agentic AI systems while still writing code on the hardest problems.

Job description

This role sets the technical direction for agentic AI systems that span several product lines, so it asks for someone who can design shared architecture and standards while still writing code on the hardest problems. A strong candidate brings many years of production software and ML engineering, including recent hands on work with large language models and agents, plus a record of getting models from experiment to scaled deployment. The person also needs to guide other senior engineers and influence decisions with both technical and non technical leaders.

How it fits the AI era

The work sits at the center of the AI shift, since the role decides which frontier models and agent patterns are worth adopting and how they are governed and monitored. Much of the routine building can be sped up with AI tools, but judgment about safety, evaluation and platform tradeoffs stays human. The role also carries responsibility for mentoring engineers as applied AI practice matures.

How it builds AI experience

A person here would gain deep experience building governed agentic systems for healthcare, including evaluation, monitoring and safety standards across teams. That means learning how to weigh model choices from major providers against real clinical and regulatory constraints. Building this background means showing hands on production LLM work and evidence of standards adopted beyond a single team.

Worth showing

• Production LLM and agent work
• ML platform and MLOps
• Model evaluation and monitoring
• Mentoring senior engineers

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Qualified Health

Qualified Health provides a healthcare-native enterprise AI platform that unifies workflows, use cases, and models under a single governed operating layer, per the company.

Tools mentioned: machine learning, Python, deep learning, NLP, MLOps