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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/Machine Learning Engineer 2 - **Company:** Columbia Technology Partners - **Location:** Annapolis Junction, MD, United States - **Experience:** Experienced - **Salary:** $160,000.0 - $185,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Data Infrastructure, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, Pytorch, Large Language Models - **Published:** July 31, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=7c34878913bc8857 ## About the Role * 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. Desired Skills: * 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., * U.S. Citizenship is required for all applicants. CTP is an equal opportunity employer and abides by applicable employment laws and regulations. All applicants and employees are subject to random drug testing in accordance with Executive Order 12564. Employment is contingent upon successful completion of a security background investigation and polygraph. * Certification Requirements: + DOD 8570 Certification This position requires an active Security Clearance with appropriate Polygraph. ## Description 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., * 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., Our salary ranges are based on the following key factors: * Job Role and Responsibilities: The specific duties and responsibilities associated with each role form the foundation of our compensation structure. * Market Research and Industry Benchmarks: We conduct regular analysis of market trends and salaries across our industry, using reliable compensation data to ensure we stay competitive. * Experience and Qualifications: An individual's experience, education, certifications, and specialized skills all contribute to determining their position within a salary range. * Location: Salary ranges may be adjusted based on geographic cost of living, in accordance with local and national standards. * Company Performance: Our compensation practices also take into account overall company performance and financial health, ensuring that we maintain sustainability while rewarding our team. ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Developer Tools for Microsoft Azure](https://www.wearedevelopers.com/videos/450-developer-tools-for-microsoft-azure) - [AI for Enterprise Developers - Dr. Damir Dobric](https://www.wearedevelopers.com/videos/1831-ai-for-enterprise-developers-dr-damir-dobric) - [Develop enterprise-ready applications for Microsoft Teams with Azure resources on modern web technologies](https://www.wearedevelopers.com/videos/187-develop-enterprise-ready-applications-for-microsoft-teams-with-azure-resources-on-modern-web-technologies) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 210: AI Agents Are Go! 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