Principal Machine Learning Engineer (GenAI / AI Architecture)
Location: Hybrid Raleigh NC - 2 days onsite
6 12 month contract to hire
What This Person Will Actually Do
This is a Principal level IC role with minimal hands on coding.
Core responsibilities:
-
- Set technical direction for LLM RAG and GenAI adoption across multiple teams
- Evaluate and recommend AI architectures tools and frameworks
- Help decompose business and product requirements into clear technology decisions
- Advise teams on best practices for AI agents ensuring quality and avoiding AI slop
- Support teams as they build (guidance and review) but not execute the build themselves
- Act as a trusted advisor to engineering and product leadership during fast moving technical change
Technical Environment & Expectations
-
- Cloud: AWS (current standard) but candidate must not be locked into one cloud or toolset
- Languages:
- Python is the most relevant
- Exposure to Java / .NET ecosystems is important (for legacy alignment)
-
- AI / GenAI:
- LLMs
- RAG
- AI agents
- Multi model strategies
- Candidate should be able to discuss multiple GenAI tools their tradeoffs pros/cons and use cases - not overly attached to one vendor or framework.
Must Have Skills (Recruiter Screening Criteria)
- Senior / Principal level experience
- Strong GenAI / LLM systems knowledge
- Hands on background earlier in career now operating at architect / advisor level
- Experience guiding teams through technology decisions (not just building solo)
- Strong cloud based AI architecture understanding
- Python development background
Principal Machine Learning Engineer (GenAI / AI Architecture) Location: Hybrid Raleigh NC - 2 days onsite 6 12 month contract to hire What This Person Will Actually Do This is a Principal level IC role with minimal hands on coding. Core responsibilities: Set technical...
Principal Machine Learning Engineer (GenAI / AI Architecture)
Location: Hybrid Raleigh NC - 2 days onsite
6 12 month contract to hire
What This Person Will Actually Do
This is a Principal level IC role with minimal hands on coding.
Core responsibilities:
-
- Set technical direction for LLM RAG and GenAI adoption across multiple teams
- Evaluate and recommend AI architectures tools and frameworks
- Help decompose business and product requirements into clear technology decisions
- Advise teams on best practices for AI agents ensuring quality and avoiding AI slop
- Support teams as they build (guidance and review) but not execute the build themselves
- Act as a trusted advisor to engineering and product leadership during fast moving technical change
Technical Environment & Expectations
-
- Cloud: AWS (current standard) but candidate must not be locked into one cloud or toolset
- Languages:
- Python is the most relevant
- Exposure to Java / .NET ecosystems is important (for legacy alignment)
-
- AI / GenAI:
- LLMs
- RAG
- AI agents
- Multi model strategies
- Candidate should be able to discuss multiple GenAI tools their tradeoffs pros/cons and use cases - not overly attached to one vendor or framework.
Must Have Skills (Recruiter Screening Criteria)
- Senior / Principal level experience
- Strong GenAI / LLM systems knowledge
- Hands on background earlier in career now operating at architect / advisor level
- Experience guiding teams through technology decisions (not just building solo)
- Strong cloud based AI architecture understanding
- Python development background
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