AI/ML Engineer

About the role

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 involves designing, implementing, and operating cloud-native infrastructure and AI/ML solutions within secure customer environments.

The successful candidate will work as part of a collaborative engineering team to architect resilient cloud environments, support production operations, and contribute to the development and deployment of machine learning and generative AI solutions.

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.

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.

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.

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 our structured iQTouch Program.
• Up to 6% 401(k) match.
• Additional 4% profit-sharing contribution, at company discretion.