Director, AI-Native Platform & Tools

Archer; San Jose (CA); On-site; USD 250,000 - 310,000; Full time

Job summary

Archer is seeking a senior leader to own the AI-native engineering platform and tools, partnering with Flight Software, Autonomy, and Infrastructure teams in San Jose. You will drive velocity and quality by delivering AI-assisted development, MLOps, and robust CI/CD across flight software and safety-critical systems.

You will mentor a high-performing team spanning AI Platform Tools, Core OS, and DevOps/SRE, shaping the roadmap and cross-functional collaboration to meet aircraft development

Qualifications

• 10+ years in software engineering with focus on platform/infrastructure, tooling, or AI/ML systems.
• Proven hands-on technical leadership; experience managing engineers/managers and scaling teams.
• Deep expertise building tools, platforms, and infrastructure for software delivery and AI/ML development.
• Experience applying modern AI to engineering — agentic/LLM tooling, MLOps, or AI-assisted development.
• Strong command of distributed systems, cloud infrastructure, infrastructure-as-code, CI/CD, observability, and DX tooling.

Responsibilities

• Deploy agentic AI and LLM tooling across the SDLC for code generation, test generation, and verification.
• Build internal AI tools and paved roads to boost developer velocity.
• Operate MLOps and simulation infrastructure for AI/ML and autonomy across lifecycle.
• Create harnesses to integrate AI and autonomy into flight-critical software.
• Own end-to-end engineering platform: CI/CD, test frameworks, deployment pipelines to flight.
• Lead DevOps/SRE and Core OS foundations across the org.
• Automate evidence, traceability, and DO-330 tool qualification for the platform.

Skills

Software engineering

Technical leadership

Platform/infrastructure

AI/ML systems

Distributed systems

Cloud infrastructure

CI/CD

Developer tooling

Observability

Team scaling

Job description

Archer is seeking a senior leader to own the AI-native engineering platform and tools, partnering with Flight Software, Autonomy, and Infrastructure teams in San Jose. You will drive velocity and quality by delivering AI-assisted development, MLOps, and robust CI/CD across flight software and safety-critical systems.

You will mentor a high-performing team spanning AI Platform Tools, Core OS, and DevOps/SRE, shaping the roadmap and cross-functional collaboration to meet aircraft development