AI/ML Engineer

Overview

AI/ML Engineer

Springfield, VA or Herndon, VA

Active TS (SCI eligibility) clearance and CI poly

At Bcore, our strength comes from how we deliver impact to the mission. Whether it's architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems engineering, software development, and operational support.Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions.

Do you want to join a team that is building tailored technical solutions to modernize our government's mission and our client's business? Do you have a desire to change how people work? Are you interested in helping to protect our nation's cyber interests? Join our growing team as an AI/ML Engineer, supporting the NGA customer mission.

Responsibilities

What you get to do every day:

• Design, implement, and maintain cloud-native infrastructure and deployment pipelines using Infrastructure as Code.
• Lead and architect scalable, secure, and resilient infrastructure solutions across multiple cloud environments.
• Build and optimize CI/CD pipelines for complex microservices architectures.
• Develop and maintain full-stack applications while ensuring operational excellence and reliability.
• Implement monitoring, logging, and alerting solutions for production systems.
• Drive security-first infrastructure design and implementation.
• Mentor team members on DevOps best practices and cloud-native technologies

Qualifications

Clearance Required: Active TS clearance (with SCI Eligibility) and CI Poly


Education/Experience:

• Requires Bachelor's degree or above in Science, Technology, Engineering, or Mathematics (STEM)
• 3+ years of machine learning/statistical modeling data analysis tools and techniques

Required Skills:

• Must be willing to work in SCIF daily or as needed, and participate in on-call rotation for production support as needed
• Experience in professional software engineering & best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
• Must be willing to work in SCIF at AWS Herndon or Springfield, VA Site up to 100% of each week

What is ideal?

• Master's degree or above in Science, Technology, Engineering, or Mathematics (STEM)
• Experience working on multi-team, cross-disciplinary projects
• Experience applying quantitative analysis to solve business problems and making data-driven business decisions
• Experience in defining and creating benchmarks for assessing GenAI model performance
• Experience with Python, SQL/NoSQL, and API development for building and deploying AI/ML solutions
• Experience working with Large Language Models (LLMs), prompt engineering, and generative AI frameworks
• Intelligence Community Experience preferred

What you can expect from us

• Recognizing great achievements do not go unnoticed by bcore through service anniversaries, spot awards, and employee referral bonuses
• You'll join a growing organization of passionate, top-shelf, IT engineering professionals with extensive experience in actively developing the technology revolution in the Intelligence community
• The expected salary range within the Washington, DC metropolitan area is $180,00-$220,000. Final compensation is unique to each individual and will be determined based on factors such as experience, education, geographic location, and contractual requirements. This is not a guarantee.
• Benefits include Health/Dental/Vision, 401(k), Paid Time Off, STD/LTD/Life Insurance/Voluntary Life Insurance, Stipends, Referral Bonuses, and more.

BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.