Senior Staff AI Architect – Agentic Systems & Platform

Qualified Health PBC; Palo Alto (CA); Sur place; USD 250 000 - 310 000; Plein temps

Avantages offerts par ce poste

Equity eligible

Medical, dental, and vision insurance

Hybrid work options

Onsite in Palo Alto

Résumé du poste

Qualified Health PBC seeks a Sr. Staff Applied AI Engineer to define the technical direction for agentic AI systems across multiple product lines. This role combines architecture ownership, platform-level leadership, and hands-on work on advanced AI problems.

Responsibilities include setting standards for LLM evaluation, deployment, safety, and monitoring, and mentoring senior staff. Onsite role in Palo Alto with equity eligibility and competitive compensation.

Qualifications

• Deep software engineering foundation with Python required.
• 9+ years building production software and ML engineering, including 2+ years of hands-on production LLM or agentic work.
• Strong ML fundamentals with hands-on experience developing, training, fine-tuning, and evaluating ML models.

Responsabilités

• 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 AI governance.
• Serve 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 frontier models and ecosystems and determine what is worth adopting at Qualified Health.

Connaissances

Python

Formation

Bachelor’s+11 years or Master’s+9 years in CS/Engineering

Outils

OpenAI

Anthropic

Mistral

LLM

MLOps

Description du poste

Qualified Health PBC seeks a Sr. Staff Applied AI Engineer to define the technical direction for agentic AI systems across multiple product lines. This role combines architecture ownership, platform-level leadership, and hands-on work on advanced AI problems.

Responsibilities include setting standards for LLM evaluation, deployment, safety, and monitoring, and mentoring senior staff. Onsite role in Palo Alto with equity eligibility and competitive compensation.