> Markdown version of [/jobs/ext/1744201-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/1744201-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:** Booz Allen Hamilton Inc. - **Location:** Arlington, VA, United States - **Experience:** Experienced - **Salary:** $99,000.0 - $225,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Computer Vision, Microsoft Azure, Cloud Computing, Computer Programming, Databases, Machine Learning, Natural Language Processing, Tensorflow, Signal Processing, Systems Integration, Reinforcement Learning, Cloud Platform System, Pytorch, Large Language Models, Grafana, Deep Learning, SC Clearance, Kubernetes, Apache Kafka, Machine Learning Operations, Virtual Agents, Docker, Confluent - **Published:** July 14, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9029227/aiml-engineer ## About the Role * 3+ years of experience as a ML engineer and building production-grade ML solutions, including work involving LLMs, agents, or complex automation frameworks * 3+ years of experience working within data science or data research in a professional or academic environment, and training or deploying models across multiple modalities of data * Experience working in cloud environments, including AWS or Azure * Experience deploying and integrating production-grade ML models using tools, such as Docker or Kubernetes * Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as MCP, LangChain, LangGraph, PydanticAI, or llamaindex * Ability to obtain a Secret clearance * Bachelor's degree * Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM * Experience in connecting Agents to APIs, Cloud platforms, or databases * Experience evaluating LLM performance and building observation layers for stakeholders, including Grafana, Langfuse, LangSmith, or Phoenix * Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use * Experience with client engagements, client-facing project work, and business development * Experience with project work in deep learning, computer vision, NLP, or signal processing * Experience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and other related services * Ability to adapt in a rapidly changing environment * Secret clearance * Master's degree ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [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) - [One AI API to Power Them All](https://www.wearedevelopers.com/videos/1601-one-ai-api-to-power-them-all) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [You are not an AI developer](https://www.wearedevelopers.com/videos/1148-you-are-not-an-ai-developer) ## 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 – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [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) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)