Senior AWS Generative AI Solution Engineer in Mount Vernon

Energy Jobline
Mount Vernon, VA, United States
9 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$107,900.0 - $195,050.0
Working hours
Regular working hours

Tech stack

Amazon Web Services AgentCore Generative AI AWS Lambda Amazon Bedrock Serverless Computing OpenSearch

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

  • \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

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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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Please be advised that during the interview, you will be required to keep your camera on, and your interviewer will be taking your picture for identification purposes if an offer letter is extended to you.

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