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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Reinforcement Learning AI Engineer - **Company:** Booz Allen Hamilton Inc. - **Location:** Huntsville, AL, United States - **Experience:** Experienced - **Salary:** $99,000.0 - $225,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Artificial Neural Networks, C++ (Programming Language), Cloud Computing, Nvidia CUDA, Software Design Patterns, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Systems Architecture, Reinforcement Learning, Pytorch, Gpu Programming, SC Clearance, Kubernetes - **Published:** September 18, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9176114/reinforcement-learning-ai-engineer ## About the Role * 3+ years of experience developing and training RL agents * Experience with AI, data science, ML engineering, or sof tware engineering * Experience with Gym or PettingZoo interfaces * Experience with ML frameworks such as PyTorch, TensorFlow, or JAX * Experience developing technical solutions using Rus t, Python, or C++ * Knowledge of RL and artifi cia l neural networks * Secret clearance * Bachelor's degree in a CS, AI, or Engineering field Nice If You Have: * Experience applying RL to autonomy, control systems, or mission-scale * Experience with MARL * Experience with AFSIM or other high-fidelity simulation environments * Experience with embedded systems programming in Rus t, C, or C++ * Experience in GPU programming, including CUDA or RAPID * Experience developing in-space solutions * Knowledge of modern sof tware design patterns, including microservice design and orchestration in Kubernetes deployment * TS/SCI clearance * Master's degree in CS, AI, Engineering, or a related field ## Description Are you an innovative and experience d artifi cia l intelligence ( AI ) developer spe cia lizing in reinforcement learning? Utilize your expertise in AI, data science, and machine learning (ML) engineering to train, test, deploy, and maintain models that learn from data to drive real-world mission critical impact. You will collaborate with dynamic teams to translate reinforcement learning research into operational capability and production-grade code, bringing significant technological advancements that drive mission success. You'll join a growing community of ML engineers focused on delivering products and solutions to our customers' most challenging problems. You'll collaborate with a team of dedicated space, military, intelligence, engineering, and AI professionals to deliver cutting-edge solutions to solve issues of national importance. What You'll Work On: * Design, implement, and train reinforcement learning ( RL ) and multi-agent reinforcement learning ( MARL ) algorithms for complex decision-making problems. * Develop scalable training pipelines using Python and modern ML frameworks. * Build and evaluate agents in simulated environments using Gym or PettingZoo, high-fidelity simulators, or custom environments. * Apply RL techniques such as policy optimization, value-based learning, model-based RL, and imitation learning. * Collaborate with domain experts to define reward structures, constraints, and evaluation met rics aligned with mission objectives. * Implement distributed training workflows leveraging cloud compute, containerization, and orchestration technologies. * Transition trained models into production systems, following strong sof tware engineering best practices. * Contribute to system architecture and performance optimization in Python with opportunities to extend into C++ or Rus t for high-performance components. ## Related Videos - [On the straight and narrow path - How to get cars to drive themselves using reinforcement learning and trajectory optimization](https://www.wearedevelopers.com/videos/205-on-the-straight-and-narrow-path-how-to-get-cars-to-drive-themselves-using-reinforcement-learning-and-trajectory-optimization) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [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. 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