Description

You set the technical direction for LLM, RAG, and GenAI adoption across multiple teams.

This role is on-site.

Responsibilities

• Evaluate and recommend AI architectures, tools, and frameworks for multi-team adoption.
• Decompose business and product requirements into clear technology decisions.
• Advise teams on best practices for AI agents to ensure quality and avoid "AI slop."
• Provide guidance and code reviews during the build process without executing the build yourself.

Required Skills

• 5+ years of senior or principal-level experience in software engineering or ML.
• Strong hands-on background with Python development.
• Deep knowledge of LLMs, RAG, and AI agents.
• Experience guiding teams through technology decisions and architecting solutions.
• Strong understanding of cloud-based AI architecture, specifically AWS.
• Familiarity with Java and .NET ecosystems for legacy alignment.
• Ability to discuss tradeoffs, pros, and cons of multiple GenAI tools and vendors.

Preferred Skills

• Experience operating at an architect or advisor level rather than pure execution.

Key Skills

Education

Any Gradute