Senior AWS Generative AI Solution Engineer in Mount Rainier

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, Agent Core Runtime, Knowledge Bases, Guardrails, Open Search Serverless, AWS Lambda, and Retrieval-Augmented to support grounded voice and chat interactions.

• Design and implement Amazon Bedrock Agents, including a Supervisor Agent and domain-specific Sub-Agents.
• Develop Retrieval-Augmented workflows using Amazon Bedrock Knowledge Bases and Open Search 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 Agent Core, response, 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, Cloud Watch, DynamoDB, S3, SNS, IAM, and KMS.
• Lead AI testing, response quality tuning, grounding validation, and latency optimization across production-like scenarios.

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

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.

• 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.

• AWS certifications such as AI Practitioner, Machine Learning Specialty, OR Solutions Architect Professional.
• Experience with Amazon Bedrock Agents, Agent Core 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 Lang Chain, Strands Agents, or other agent development frameworks.

• 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.

• Amazon Bedrock, Bedrock Agents, Bedrock Guardrails, Bedrock Knowledge Bases, Agent Core Runtime.
• Retrieval-Augmented, prompt engineering, multi-agent systems, vector search.
• AWS Lambda, Amazon Lex V2, Amazon Connect, Cloud Watch.
• Python, REST APIs, JSON, Cloud Formation or Terraform, CI/CD.
• Open Search Serverless, DynamoDB, S3, IAM, KMS.

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, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Pay Range $ - $

August 3, 2026

While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Leidos is an industry and…