[Remote] Senior AWS Generative AI Solution Engineer
Leidos
- Location
- United States
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 130,000–150,000/yr
Posted 5d ago
Note
The job is a remote job and is open to candidates in USA. Leidos is seeking an experienced Senior AWS Generative AI Solution Engineer to support government and commercial digital and mission innovations. The role will design and implement the reasoning layer for a GenAI-enabled HUD FHA Resource Center, including multi-agent solutions, retrieval-augmented generation, guardrails, orchestration, integrations, testing, and production optimization.
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
Skills
- 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
- Candidate must be/reside in the Gaithersburg, MD/Washington, DC metro area
- 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
- 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
Benefits
- Health and Wellness programs
- Income Protection
- Paid Leave
- Retirement
- 100% telework/remote opportunity
Company Overview
- Leidos is an industry and technology leader serving government & commercial customers with smarter, more efficient digital and mission innovations. It was founded in 1969, and is headquartered in Reston, Virginia, USA, with a workforce of 10001+ employees. Its website is https://www.leidos.com.
Skills
- Python
- AWS
- Amazon Bedrock
- OpenSearch Serverless
- Lambda
- Amazon Lex V2
- Amazon Connect
- CloudWatch
- DynamoDB
- S3
- IAM
- KMS
- REST APIs
- JSON
- CloudFormation
- Terraform
- CI/CD
- Claude models
- LangChain
- Strands Agents
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