Senior AI Engineer, GS D

• Develop and implement complex generative AI applications from discovery to deployment, realizing strategic, tactical, and operational impact.
• Establish a best practices framework for deploying cloud architectures supporting AI agents, focusing on cost, performance, and security for LLM workloads and vector search.
• Create RAG/LLM evaluation pipelines, embedding strategies, and optimize prompts/runtime.
• Build and maintain MLOps, LLMOps, and AgentOps workflows for data pipelines, model packaging, CI/CD, and model versioning.
• Lead and support teams of skilled AI specialists in delivering workable products.
• Communicate and present complex topics to Senior Leadership and serve on Steering Committees.

What You Bring

• Over 7 years of experience in AI/ML solutions, with 5+ years leading GenAI initiatives in enterprise settings.
• 10+ years of Python and API development experience in production environments.
• Recognized as a top talent, successfully scaling solutions company-wide.
• University degree or equivalent experience in Computer Science, Engineering, or related field.
• Strong proficiency in Python and cloud computing using AWS CDK and Serverless Framework.
• Hands-on expertise with LLM providers and frameworks like Azure OpenAI, AWS Bedrock, Hugging Face, LangChain/LangGraph.