AI/Machine Learning Engineer 2

Columbia Technology Partners • Annapolis Junction, MD

17h • Onsite

About The Position

Columbia Technology Partners is seeking an AI/ML Engineer to support mission-critical intelligence operations within a fast-paced national security environment. In this role, you will work directly with mission users to capture complex analytical workflows, identify operational decision points, and develop AI-enabled solutions that improve efficiency, accessibility, and decision-making. The ideal candidate will have experience designing and implementing AI-driven workflows, integrating large language models (LLMs) into operational processes, and developing solutions that operate effectively within secure enterprise environments. You will collaborate closely with analysts, operators, developers, and mission leadership to deliver scalable capabilities that align with mission requirements and security expectations.

Requirements

• Bachelor's degree and 14+ years of experience, including 3+ years supporting AI/ML, data science, or software engineering initiatives within cyber, intelligence, or national security environments.
• Experience capturing operational workflows and translating requirements into automation, process maps, or executable solutions.
• Experience designing and implementing LLM-powered or agentic workflows, including orchestration and tool integration.
• Experience integrating AI capabilities with APIs, enterprise data sources, and mission platforms.
• Strong Python development skills and experience building production-ready applications or automation solutions.
• U.S. Citizenship is required for all applicants.
• Employment is contingent upon successful completion of a security background investigation and polygraph.
• DOD 8570 Certification
• This position requires an active Security Clearance with appropriate Polygraph.

Nice To Haves

• Experience engineering and deploying AI capabilities within on-premises, air-gapped, or multi-classification environments.
• Experience with AWS and/or Azure, particularly in restricted or mission-focused environments.
• Experience with AI development frameworks such as LangChain, LangGraph, PydanticAI, or CrewAI.
• Experience with machine learning frameworks including PyTorch, TensorFlow, vLLM, or llama.cpp.
• Familiarity with cyber intelligence workflows, operational analytics, and mission-focused data environments; a Master's degree in a related technical field is a plus.

Responsibilities

• Capture and document user workflows, translating operational needs into automation requirements and executable solutions.
• Design, develop, and implement AI/ML capabilities including LLM-powered workflows, agentic automation, and hybrid AI solutions.
• Integrate AI systems with APIs, enterprise data sources, and mission platforms.
• Develop and maintain Python-based applications and automation tools.
• Collaborate with technical and mission stakeholders to ensure reliable deployment and operational effectiveness.
• Ensure solutions comply with security, governance, and performance requirements within classified environments.

Benefits

• Medical: CTP offers 3 superior plans, bringing our employees both in-network and out-of-network options.
• Vision + Dental: Both free to you + paid in full by CTP.
• Retirement: 401k - 6% company contribution
• PTO + Leave: A work life balance is extremely important to our team here at CTP, which is why our paid time off plans are so lucrative. Offering customizable leave plans to meet your needs is just one of our many perks!
• Jury Duty, Bereavement + Military Leave provided.
• Career Growth: Up to $10,000 provided for approved career-related learning, training, education, and/or tuition.
• Life and AD&D Insurance/Short-Term & Long-Term Disability: More peace of mind, at zero cost to you.
• Profit Sharing Bonus: End of year cash gets added to your bottom-line.
• Referral Bonus Program: Our tiered program provides an incentive with each stage of the hiring process your referral passes. Our bonuses range from $7,000-$20,000, if your referral joins the team.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior