Senior AWS Generative AI Solution Engineer in Clinton

Leidos is seeking an experienced Senior AWS Generative AI Solution Engineer to design and implement the reasoning layer for a GenAI-enabled HUD FHA Resource Center. The selected candidate will lead development of a multi-agent solution using Amazon Bedrock, AgentCore Runtime, Knowledge Bases, Guardrails, OpenSearch Serverless, AWS Lambda, and Retrieval-Augmented to support grounded voice and chat interactions.

Bachelor’s degree and 8+ years of relevant experience OR Masters degree with 6+ years of relevant experience. Additional years of relevant experience may be considered and/or accepted in lieu of degree.

n \n

• \n Design and implement Amazon Bedrock Agents, including a Supervisor Agent and domain-specific Sub-Agents. \n

• \n Develop Retrieval-Augmented workflows using Amazon Bedrock Knowledge Bases and OpenSearch Serverless. \n

• \n Implement prompt engineering, agent routing, confidence logic, and low-confidence fallback behavior. \n

• \n Configure Bedrock Guardrails for PII redaction, prompt-injection detection, denied topics, content safety, and grounding evaluation. \n

• \n Build Lambda orchestration to connect Lex V2, Bedrock AgentCore, response , and human transfer decisions. \n

• \n Support session management, conversation context persistence, and cross-channel consistency for voice and chat. \n

• \n Integrate the GenAI stack with Amazon Connect, Salesforce, CloudWatch, DynamoDB, S3, SNS, IAM, and KMS. \n

• \n Lead AI testing, response quality tuning, grounding validation, and latency optimization across production-like scenarios. \n

\n

\n

Please Note: This is 100% telework/remote opportunity. However, candidate must be/reside in the Gaithersburg, MD/Washington, DC metro area.

\n

\n