Job Description
Our Client, an IT Services and Consultant company, is looking for a Generative AI Solutions Engineer (LLM, RAG, AWS) for their Mc Lean, VA location. Responsibilities:
+ Design and architect end-to-end GenAI solutions using LLMs (OpenAI, Azure OpenAI, Google Gemini, Anthropic Claude, etc.)
+ Lead the implementation of prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, and agentic AI systems
+ Define AI architecture patterns, best practices, and governance frameworks
+ Build scalable pipelines for data ingestion, vectorization (embeddings), and semantic search
+ Collaborate with business stakeholders to identify AI use cases and translate them into technical solutions
+ Implement and manage AI model deployment on cloud platforms (Azure, AWS, GCP)
+ Ensure responsible AI practices, including security, compliance, and bias mitigation
+ Integrate GenAI solutions with enterprise syste...
+ Design and architect end-to-end GenAI solutions using LLMs (OpenAI, Azure OpenAI, Google Gemini, Anthropic Claude, etc.)
+ Lead the implementation of prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, and agentic AI systems
+ Define AI architecture patterns, best practices, and governance frameworks
+ Build scalable pipelines for data ingestion, vectorization (embeddings), and semantic search
+ Collaborate with business stakeholders to identify AI use cases and translate them into technical solutions
+ Implement and manage AI model deployment on cloud platforms (Azure, AWS, GCP)
+ Ensure responsible AI practices, including security, compliance, and bias mitigation
+ Integrate GenAI solutions with enterprise syste...