> Markdown version of [/jobs/ext/1967277-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/1967277-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - **Company:** Shield Consulting Solutions - **Location:** Annapolis Junction, MD, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cyber Security, Python (Programming Language), Machine Learning, Operational Data Store, Tensorflow, Software Engineering, Systems Integration, Enterprise Data Management, Pytorch, Large Language Models, Data Management, Programming Languages - **Published:** August 7, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9079834/aiml-engineer ## About the Role * Bachelor's degree and 14 years of experience with 3+ years of experience in AI/ML engineering, data science, or software engineering within cyber, intelligence, or national security environments, * Experience capturing user workflows and translating them into structured process maps, automation requirements, or executable logic * Experience designing or implementing LLM based or agentic workflows, including multi step reasoning, tool integrations, and orchestration * Experience integrating AI systems with APIs, enterprise data stores, or mission platforms * Experience with programming languages such as Python Desired Experience: * Experience engineering AI capabilities in on premise or multi classification environments * Experience with AWS or Azure, including work in restricted or classified environments * Experience with AI/LLM development framework such as LangChain, LangGraph, PydanticAI, or CrewAI * Experience with ML frameworks such as PyTorch, TensorFlow, vLLM, or llama.cpp * Experience with cyber or intelligence workflows, operational data types, or mission oriented analytical processes * Master's degree in AI, ML, Data Science, Cybersecurity, or Engineering ## Description * Work directly with mission users to capture these workflows, document operational decision points, and translate them into effective AI enabled capabilities. * Design and implement solutions that may include LLM powered workflows, agent-based automation, or hybrid approaches depending on mission needs. * Streamline analytical tasks, improve data accessibility, and support rapid, informed decision making in high tempo environments. * Collaborate with operators, analysts, developers, and mission leadership to ensure solutions integrate cleanly with existing systems, perform reliably in production, and adhere to the security and governance expectations of classified environments. ## Related Videos - [One AI API to Power Them All](https://www.wearedevelopers.com/videos/1601-one-ai-api-to-power-them-all) - [Thinking Differently - How to Make Money from Cyber Attacks & Cheats](https://www.wearedevelopers.com/videos/745-thinking-differently-how-to-make-money-from-cyber-attacks-cheats) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [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) - [Prompt Injection, Poisoning & More: The Dark Side of LLMs](https://www.wearedevelopers.com/videos/1563-prompt-injection-poisoning-more-the-dark-side-of-llms) - [Cyber Security: Small, and Large!](https://www.wearedevelopers.com/videos/259-cyber-security-small-and-large) ## 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) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [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 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)