Quevera LLC is supporting an enterprise Generative AI optimization engagement for a large-scale customer in Herndon, VA and Springfield, VA (onsite). In this role, you will help modernize GenAI on AWS , working embedded with customer Scrum teams to design and implement production-ready capabilities such as model routing and orchestration, conversation-context solutions, and integration-ready GenAI services.
What you'll build
- 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 that support 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.
How you'll work with the customer team
- 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, producing technical documentation, architecture diagrams, and handoff artifacts.
Requirements
- Active TS/SCI clearance with Polygraph required.
- 5+ years of software development and cloud architecture experience.
- 2+ years of hands-on AWS experience with production workloads.
- 2+ 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, including 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.
Technology focus
AWS , Amazon Bedrock , LangChain , Python , OpenSearch Service , CloudWatch , ECS , EKS , RDS , DynamoDB , vector databases , semantic search technologies
Benefits
- 100% employer-paid medical coverage (optional plan)
- Competitive options for Medical, Dental and Vision insurance
- Employer-paid short-term and long-term disability coverage
- Employer-paid life insurance
- $5,000 annually for education, training, certifications, and professional development
- Career advancement through the structured iQTouch Program
- Up to 6% 401(k) match
- Additional 4% profit-sharing contribution (company discretion)
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.
Senior Generative AI Engineer in herndon at Unknown Company
This position is listed as full time and onsite.