Senior Generative AI Engineer
Job Description
Quevera LLC is hiring a Senior Generative AI Engineer to support an enterprise GenAI modernization engagement on AWS for a large customer in Herndon, Virginia and Springfield, Virginia.
Responsibilities
- Design and implement intelligent model-routing logic using ML-based classification to select appropriate LLMs based on conversational context, task complexity, and performance requirements
- Build and maintain orchestration layers using AWS Bedrock, LangChain, or custom frameworks for 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 to 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 for model training, evaluation, and enterprise application integration
- Partner with customer stakeholders and technical counterparts to gather requirements, validate solutions, and participate in Agile/Scrum ceremonies
- Coordinate with the Engagement Manager to track progress and risks, and produce 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 hands-on AWS experience with production workloads
- 2+ years experience with Generative AI technologies and LLM deployment
- Proven track record designing and implementing enterprise-scale architecture
- Experience working 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 skills
- Experience leading technical discussions and influencing architecture decisions
- Ability to work in ambiguous, fast-paced environments while 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
Technologies
- 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, at company discretion
Desired Skills
- Ability to contribute to complex technical challenges and prototype innovative solutions
- Ability to transfer knowledge to customer teams
- Ability to balance strategic thinking with hands-on implementation
- Ability to deliver enterprise-grade solutions under tight timelines