Job Description:Quevera is seeking an
AI/ML Engineer to support mission-critical programs in
Herndon and Springfield, Virginia. This position requires an
active TS/SCI Clearance with Polygraph and supports the design, implementation, and operation of cloud-native infrastructure and AI/ML solutions within secure customer environments.
The successful candidate will design and maintain scalable cloud infrastructure, develop and support AI/ML applications, and build secure deployment pipelines that enable reliable software delivery. Working as part of a collaborative engineering team, you will help architect resilient cloud environments, support production operations, and contribute to the development and deployment of machine learning and generative AI solutions.
Job Responsibilities:- Design, implement, and maintain cloud-native infrastructure and deployment pipelines using Infrastructure as Code (IaC).
- Lead the architecture of scalable, secure, and resilient infrastructure solutions across multiple cloud environments.
- Build and optimize CI/CD pipelines supporting complex microservices architectures.
- Develop and maintain full-stack applications while ensuring operational excellence and system reliability.
- Implement monitoring, logging, and alerting solutions for production environments.
- Design and implement security-first cloud infrastructure solutions.
- Mentor team members on DevOps best practices and cloud-native technologies.
- Participate in on-call production support as needed.
Minimum Requirements:- Active TS/SCI Clearance with Polygraph.
- IC Green Badge (may be obtained as part of the crossover process).
- Bachelor's degree or higher in Science, Technology, Engineering, or Mathematics (STEM).
- Experience in professional software engineering and the full Software Development Life Cycle (SDLC), including coding standards, software architecture, code reviews, source control management, continuous deployments, testing, and operational excellence.
- Three (3) or more years of experience with machine learning, statistical modeling, data analysis tools, and techniques.
- Willingness to work onsite in a SCIF environment at AWS Herndon or the Springfield customer site, up to 100% of the work week.
- Willingness to participate in an on-call production support rotation.
Desired Skills:- Master's degree or higher in Science, Technology, Engineering, or Mathematics (STEM).
- Experience working on multi-team, cross-disciplinary projects.
- Experience applying quantitative analysis to solve business problems and support data-driven decision making.
- Experience defining and creating benchmarks for evaluating Generative AI model performance.
- Experience developing AI/ML solutions using Python, SQL/NoSQL, and APIs.
- Experience working with Large Language Models (LLMs), prompt engineering, and generative AI frameworks.
Outstanding BenefitsWe invest in our employees and their families through a highly competitive benefits package, including:
- 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 our structured iQTouch Program
- Up to 6% 401(k) match
- Additional 4% profit-sharing contribution, at company discretion
At Quevera, we believe exceptional people deserve exceptional opportunities. We're more than just a workplace-we're a team of innovators, problem-solvers, and industry experts committed to delivering mission-critical solutions while fostering professional growth, collaboration, and technical excellence.
