Senior AWS Generative AI Solution Engineer in Temple Hills
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Job summary
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. You will lead development of a multi-agent solution using Bedrock, AgentCore Runtime, Knowledge Bases and OpenSearch Serverless to support grounded voice and chat interactions.
The role requires strong Python skills, deep AWS experience, and a track record delivering production AI solutions in regulated environments.
Qualifications
- Bachelor’s degree and 8+ years of relevant experience OR Master’s degree with 6+ years of relevant experience.
- 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 obtain and maintain a Public Trust security clearance.
Responsibilities
- Design and implement Amazon Bedrock Agents, including a Supervisor Agent and domain-specific Sub-Agents.
- Develop Retrieval-Augmented workflows using 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, 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.
Skills
Education
Tools
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.
- 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 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 , 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.
This is 100% telework/remote opportunity. However, candidate must be/reside in the Gaithersburg, MD/Washington, DC metro area.
- 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, 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.
- 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, AgentCore Runtime.
- Retrieval-Augmented , 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.
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.
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.
August 3, 2026
For U.S. Positions: 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.
Pay Range $107,900.00 - $195,050.00
The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. 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.
Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.
Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.
All qualified applicants will receive consideration for employment without regard to , , , , , citizenship, , physical or mental , medical condition, genetic information, , family structure, marital status, ancestry, domestic partner status, , or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
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