Senior AI Engineer to design, build, and support AI/ML solutions leveraging modern generative AI

Our public sector client is seeking an Senior AI Engineer to design, build, and support AI/ML solutions leveraging modern generative AI and retrieval techniques (e.g., RAG) to meet business needs-

3 month contract to start until end of , 8 hours/day. Hybrid model - 3 days/week onsite in Richmond.

Specific Responsibilities and Deliverables:

• Design, build, and support AI/ML solutions leveraging modern generative AI and retrieval techniques (e.g., RAG) to meet business needs.
• Work with structured and unstructured data to develop, train, and optimize AI models for production use.
• Deploy and maintain AI solutions in cloud environments (Azure), ensuring scalability and reliability.
• Evaluate model performance and collaborate with cross-functional teams to deliver effective AI-driven outcomes

Mandatory Requirements:

• Undergraduate degree in Computer Science or STEM (Science, Technology, Engineering, Math) and 6+ years of equivalent work experience in IT
• Knowledge Graphs & Structured Data — experience building or working with graph-based data structures to support AI applications
• Retrieval-Augmented Generation (RAG) — experience combining retrieval and generative AI techniques to improve response accuracy
• Information Retrieval & Search — experience with search/indexing techniques for retrieving relevant information from large datasets
• Graph Data Processing — experience preprocessing and analyzing graph-based data to support AI/ML tasks
• Model Training & Optimization — experience training and optimizing large-scale AI/ML models for performance and scalability
• Embeddings & Vector Search — experience with embeddings and vector databases for semantic search and retrieval
• Model Evaluation — experience assessing AI model quality and performance using standard evaluation metrics
• Cloud & Deployment — experience deploying AI solutions in cloud environments (Azure preferred)
• Programming & Data Engineering — proficiency in Python (or similar) and experience with data pipeline/ETL processes