Solutions Architect / AI Engineer - W2 (Part time - Job) - Public Trust Clearance

Solutions Architect / AI Engineer
Remote and part time
Need to be on our w2
12 months
 
Note : Need Public Trust Clearance 
 
1,440 hours over 12 months (about 0.75 FTE, roughly 28 hrs/week)
 
Note : Client notes--Work is performed in the client's existing Microsoft Azure Government environment. Important context for candidates: the client already owns and runs the platform,
the data layer and the AI assistant. This work builds applications on top of what exists. Nobody is standing up new infrastructure or training models
 
Environment the team works in: Azure Government, PostgreSQL, dbt, Apache Superset, Python, an existing production LLM and AI assistant with a vector store, OCR and document text extraction, retrieval with source citations, and
row level security enforced at the database.
 
Solutions Architect side (minimum 10+ years, bachelor's in CS or related):
- Azure architecture
- Data and analytics architecture
- Security architecture
- Integrating AI enabled retrieval, search and LLM patterns into applications
- Open source analytics
 
AI / ML Engineer side (minimum 4+ years, bachelor's in CS or related, or equivalent), hands on building applications on retrieval based AI and LLM
services:
- Integrating and EXTENDING existing AI, RAG and LLM capabilities into
applications. Extending an existing assistant, not building one from
scratch. Candidates whose only experience is greenfield model work are not
the right fit.
- Embeddings and vector databases
- Document text extraction and OCR
- Retrieval guardrails and validation
- Retrieval, ranking and citation
- AI feature quality evaluation
- Python
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