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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Generative AI Engineer - AWS - **Company:** Quevera LLC - **Location:** Herndon, VA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Cloud Engineering, Computer Programming, Amazon DynamoDB, Python (Programming Language), Performance Tuning, Scrum Methodology, Search Technologies, Software Engineering, Management of Software Versions, Enterprise Application Integration, System Availability, Large Language Models, Prompt Engineering, Model Validation, Generative AI, Infrastructure Automation Frameworks, Cloudwatch, Security Orchestration, Automation & Response - **Published:** September 20, 2026 - **Apply:** https://www.dice.com/job-detail/a0594286-5e85-4347-a3d0-82437f44ddcd ## About the Role * Active TS/SCI clearance with Polygraph required. * Five (5) or more years of software development and cloud architecture experience. * Two (2) or more years of hands-on AWS experience with production workloads. * Two (2) or more years of experience with Generative AI technologies and LLM deployment. * Proven track record of enterprise-scale architecture design and implementation. * Experience with NatSec customers. * Deep understanding of GenAI foundation models and deployment patterns. * Strong programming skills in Python and infrastructure-as-code tools. * Experience with vector databases and semantic search technologies. * Expert-level knowledge of AWS services, including Amazon Bedrock, OpenSearch Service, CloudWatch, ECS/EKS, and RDS/DynamoDB. * Strong understanding of security automation and compliance frameworks. * Ability to work independently and drive initiatives with minimal oversight. * Strong problem-solving and analytical thinking capabilities. * Experience leading technical discussions and influencing architecture decisions. * Ability to work in ambiguous, fast-paced environments with a focus on delivering measurable customer outcomes. * Must be able to obtain and maintain Springfield, VA customer accounts. * Must be able to travel onsite periodically for meetings and ceremonies. Desired Skills: * Ability to contribute to complex technical challenges and prototype innovative solutions. * Ability to effectively transfer knowledge to customer teams. * Ability to balance strategic thinking with hands-on implementation. * Ability to deliver enterprise-grade solutions under tight timelines. ## Description Quevera is seeking a highly experienced Senior Generative AI Engineer - AWS with an active TS/SCI clearance with Polygraph to support a Generative AI optimization engagement for a large-scale enterprise customer in Herndon, Virginia and Springfield, Virginia., This role focuses on enterprise-scale Generative AI optimization and modernization using AWS cloud architecture and GenAI technologies. You will work embedded with customer Scrum teams to design and implement intelligent model routing and orchestration, conversation-context solutions, and scalable GenAI capabilities for production environments., * Design and implement intelligent model-routing logic using ML-based classification to route requests to appropriate LLMs based on conversational context, task complexity, and performance requirements. * Build and maintain orchestration layers using AWS Bedrock, LangChain, or custom frameworks to support multi-model workflows. * Train, evaluate, and iterate on classification models using evaluation frameworks and feedback loops. * Architect conversation-context analysis, retrieval, and embedding strategies to interpret user intent across multi-turn interactions. * Develop prompt-engineering standards and context-window management techniques supporting intent classification and routing. * Architect enterprise-scale GenAI solutions with high availability, performance optimization, and cost management. * Apply GenAI platform practices including observability, model evaluation, guardrails, responsible AI controls, and versioning. * Design and maintain data extraction and transformation pipelines supporting model training, evaluation, and enterprise application integration. * Engage with customer stakeholders and technical counterparts to gather requirements, validate solutions, and participate in Agile/Scrum ceremonies. * Collaborate with the Engagement Manager to track progress and risks and produce technical documentation, architecture diagrams, and handoff artifacts. ## Related Videos - [Make it simple, using generative AI to accelerate learning](https://www.wearedevelopers.com/videos/969-make-it-simple-using-generative-ai-to-accelerate-learning) - [From Black Box to Glass Box : Bedrock AgentCore Observability](https://www.wearedevelopers.com/videos/2126-from-black-box-to-glass-box-bedrock-agentcore-observability) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Three-and-a-half Ways of Testing your Repositories](https://www.wearedevelopers.com/videos/839-three-and-a-half-ways-of-testing-your-repositories) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [30 powerful AWS hacks in just 30 minutes: Boost your developer productivity](https://www.wearedevelopers.com/videos/1624-30-powerful-aws-hacks-in-just-30-minutes-boost-your-developer-productivity) ## Related Articles - [Got AI ideas but no money? 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