Chief AI Platform Architect — Lead Agent SDK

AIOS

San Francisco (CA)

On-site

USD 240,000 - 400,000

Full time

14 days+
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Benefits offered by this job

Healthcare
Remote work
PTO and holidays
Personal development budget
Equipment provided

Job summary

AIOS is a fully remote, fast-growing company redefining healthcare with AI. As Head of AI Engineering, you will shape the AIOS Agent SDK, powering Jesse, Aegis, and future agents across the platform.

You’ll lead the technical strategy, own critical safety and compliance features, and supervise a small Applied AI team while collaborating with product, clinical, and engineering partners. This senior role reports to the VP of Engineering and offers significant scope to influence product and

Qualifications

  • 8+ years of software engineering with production contributions.
  • Bachelor’s degree in CS/ML or related field.
  • Built and shipped agentic systems that reason across steps and use tools.

Responsibilities

  • Own Agent SDK architecture, primitives, and integration points.
  • Be the senior owner of Jesse and Aegis with cross‑team collaboration.
  • Create trustworthy benchmarks and production evaluation workflows.
  • Improve production learning loop with real‑world data and feedback.
  • Ensure safety, compliance, and robust security in the platform.
  • Lead model selection, routing, and deployment of open‑weight models.
  • Maintain and improve the shared runtime, observability, and incident response.
  • Grow the Applied AI team and manage relationships with model providers.

Skills

8+ years exp
Active production contributor
Agentic systems
Agent architecture
Eval systems
Open-weight models
Systems engineering
Safety & authorization
Leadership
Communication
Independence
Hands-on founder
Ownership

Education

Bachelor in Computer Science / Machine Learning

Job description

AIOS is a fully remote, fast-growing company redefining healthcare with AI. As Head of AI Engineering, you will shape the AIOS Agent SDK, powering Jesse, Aegis, and future agents across the platform.

You’ll lead the technical strategy, own critical safety and compliance features, and supervise a small Applied AI team while collaborating with product, clinical, and engineering partners. This senior role reports to the VP of Engineering and offers significant scope to influence product and

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