Senior AWS Generative AI Solution Engineer

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 Generation to support grounded voice and chat interactions.

Core Responsibilities:

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

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

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

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

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

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

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

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

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

Required Qualifications:

• 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.

• 8+ years of software engineering OR cloud development experience.

• At least 3 years of Generative AI OR LLM application development experience.

• Strong Python development skills and experience building production AWS solutions.

• Hands-on experience with Amazon Bedrock, RAG patterns, and vector-based retrieval.

• Experience with APIs, distributed systems, and secure cloud architecture.

• Ability to work effectively in a regulated government environment.

• Ability to obtain and maintain a Public Trust security clearance.

• US Citizen.

Preferred Qualifications:

• AWS certifications such as AI Practitioner, Machine Learning Specialty, OR Solutions Architect Professional.

• Experience with Amazon Bedrock Agents, AgentCore Runtime, Guardrails, and Knowledge Bases.

• Experience with Claude models, agent frameworks, or multi-agent orchestration patterns.

• Familiarity with FedRAMP environments and government AI governance requirements.

• Experience with LangChain, Strands Agents, or other agent development frameworks.

Success Measures:

• Supervisor Agent and Sub-Agents are implemented and tested across HUD service domains.

• Responses are grounded, accurate, and safely filtered through Guardrails.

• Confidence scoring and fallback behavior support reliable human escalation.

• The GenAI platform is production-ready, maintainable, and compliant with security and privacy requirements.

Target Technical Skills: Highly Desired/Preferred Skills (Nice to Have):

• Amazon Bedrock, Bedrock Agents, Bedrock Guardrails, Bedrock Knowledge Bases, AgentCore Runtime.

• Retrieval-Augmented Generation, prompt engineering, multi-agent systems, vector search.

• AWS Lambda, Amazon Lex V2, Amazon Connect, CloudWatch.

• Python, REST APIs, JSON, CloudFormation or Terraform, CI/CD.

• OpenSearch Serverless, DynamoDB, S3, IAM, KMS.

Please Note: The program budget salary for this role could fall anywhere between $130,000 to low/mid $150,000 with a slight wiggle room (no guarantees) based on relevant experience and assessment. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job...