Lead AI Software Engineer, AI Platform & Architecture

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About this Position

We are hiring a hands-on technical leader to raise the engineering bar across our teams.

You will partner with Engineering Managers and senior engineers to improve architecture, technical design, code reviews, CI/CD, infrastructure, and engineering practices. You will also remain an active individual contributor, shipping production code and leading technically complex initiatives.

This is not a traditional architect role focused on diagrams and approvals. You will build systems, create practical engineering guardrails, and help teams make better technical decisions without becoming a bottleneck.

What you will do:

Define and evolve architecture and engineering practices across multiple teams.

Partner with Engineering Managers and technical leads on complex system-design decisions.

Lead technical designs, RFCs, architecture reviews, and critical code reviews.

Build and ship production systems across AI, backend, cloud, infrastructure, and full-stack applications.

Improve CI/CD, testing, observability, reliability, security, and developer experience.

Create reusable platforms, libraries, reference implementations, and paved roads for teams.

Help design and operate production AI systems, including model integration, orchestration, retrieval, evaluation, and monitoring.

Contribute to cloud infrastructure and help resolve complex production issues.

Mentor engineers and raise technical quality through hands-on leadership.

Ensure engineering standards remain effective after they are introduced.

What we are looking for:

Minimum Requirements:

15+ years of experience in architecture.

Founding Engineer experienced with scaling startups.

Ability to influence multiple teams without relying on formal authority.

Resourceful and Independent to own and operate across teams and individual projects.

Strong experience designing, building, and operating production software systems.

Deep expertise in AI systems, backend or distributed systems, infrastructure and cloud architecture.

Practical understanding of modern AI systems, including foundation models, inference, retrieval, orchestration, evaluation, latency, and cost.

Strong working knowledge of full-stack development.

Experience with Python, Go, TypeScript, Kubernetes, and major cloud platforms.

Preferred Qualifications:

What Success Looks Like

Lead the engineering transformation to turn adhoc features into scaled robust systems

Setup practices for Release Lifecycle.

Improve the quality and consistency of technical design across teams.

Establish engineering guardrails that teams actually use.

Reduce repeated architectural mistakes and unnecessary duplication.

Improve developer velocity, reliability, and operational quality.

Become a trusted technical partner to Engineering Managers and senior engineers

The annual gross base salary range for this position is $180,000 - $225,000 plus variable compensation.