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 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.
Required Qualifications:
- Bachelor’s degree and 8+ years of relevant experience OR Masters 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 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.
Salary: 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.