Senior AWS Generative AI Solution Engineer in Annandale
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Role details
Tech stack
Job description
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.
Requirements
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.
Benefits & conditions
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\n Design and implement Amazon Bedrock Agents, including a Supervisor Agent and domain-specific Sub-Agents. \n
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\n Develop Retrieval-Augmented workflows using Amazon Bedrock Knowledge Bases and OpenSearch Serverless. \n
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\n Implement prompt engineering, agent routing, confidence logic, and low-confidence fallback behavior. \n
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\n Configure Bedrock Guardrails for PII redaction, prompt-injection detection, denied topics, content safety, and grounding evaluation. \n
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\n Build Lambda orchestration to connect Lex V2, Bedrock AgentCore, response , and human transfer decisions. \n
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\n Support session management, conversation context persistence, and cross-channel consistency for voice and chat. \n
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\n Integrate the GenAI stack with Amazon Connect, Salesforce, CloudWatch, DynamoDB, S3, SNS, IAM, and KMS. \n
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\n Lead AI testing, response quality tuning, grounding validation, and latency optimization across production-like scenarios. \n
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Please Note: This is 100% telework/remote opportunity. However, candidate must be/reside in the Gaithersburg, MD/Washington, DC metro area.
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