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# AI/ML Engineer

- **Company:** Booz Allen Hamilton Inc.
- **Location:** Alexandria, VA, United States
- **Experience:** Expert
- **Salary:** $99,000.0 - $225,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), A/B Testing, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computer Vision, Automation of Tests, Microsoft Azure, Cloud Computing, Cloud Engineering, Nvidia CUDA, System Configuration, Continuous Integration, Distributed Computing Environment, Distributed Systems, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, Performance Tuning, Tensorflow, Scala (Programming Language), Scientific Computating, Software Deployment, Software Engineering, Management of Software Versions, Reinforcement Learning, Rust (Programming Language), Data Processing, Google Cloud, Pytorch, Large Language Models, Deep Learning, Model Validation, Generative AI, Gpu Programming, HybridCloud, Gitlab, Pandas, Containerization, AI Platforms, Scikit Learn, Kubernetes, Integration Frameworks, Machine Learning Operations, Software Version Control, Data Pipelines, Docker, Microservices
- **Published:** September 25, 2026
- **Apply:** https://www.dice.com/job-detail/69caccd3-77f6-482b-b275-be60b1e070a5

## About the Role

* 3+ years of experience developing ML models such as NLP or LLM, CV, deep learning, generative AI, or reinforcement learning
 * Experience developing AI/ML capabilities to operate in a microservice stack
 * Experience developing or maintaining production-grade APIs, microservices, or distributed systems
 * Experience designing, configuring, or deploying software systems in operational environments
 * Active TS/SCI clearance; willingness to take a polygraph exam
 * Bachelor's degree

Nice If You Have:

 * Experience in GPU programming, including CUDA or RAPIDs
 * Experience with data processing frameworks and scientific computing libraries such as NumPy, Pandas, PyTorch, TensorFlow, or scikit-learn
 * Experience with AWS and containerization of models in a classified environment
 * Experience with LLM orchestration, RAG pipelines, grounding, or hallucination-mitigation workflows
 * Experience with MLOps platforms, distributed training, or hybrid cloud environments such as AWS, Azure, and Google Cloud Platform
 * Experience with automated testing tools and model evaluation frameworks
 * Experience with CI/CD tooling, source control such as GitLab, and containerization technologies such as Docker, Podman, or Kubernetes
 * Master's degree in CS, AI Engineering, ML Engineering, Data Science, or a STEM field
 * AI/ML, Cloud, or Solution Architecture Industry Certifications

## Description

As a Senior Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will design, build, and deploy advanced AI/ML solutions that modernize mission systems and accelerate decision-making across the national security ecosystem. You will contribute end-to-end, spanning data processing, model development, MLOps, and integration of scalable AI capabilities into operational environments.

Your work will leverage deep experience with ML-based NLP, LLMs and generative AI, computer vision, and modern software engineering practices, consistent with the company's AI/ML engineering role definitions. You will partner closely with cross-functional engineering, mission SMEs, and product teams to deliver production-grade systems aligned with Booz Allen's AI modernization approaches.

What You'll Work On:

 * Design, develop, and implement AI/ML models, including NLP, LLM-based pipelines, deep learning architectures, and computer vision models, aligned to mission requirements.
 * Build and optimize scalable data pipelines to support training, evaluation, and continuous improvement of models.
 * Develop end-to-end production systems, including microservices, APIs, automation frameworks, and cloud-native or edge-deployed AI services.
 * Integrate AI/ML capabilities into operational environments with attention to security, reliability, observability, and performance.
 * Conduct model optimization, tuning, versioning, and AB testing to ensure robust mission impact.
 * Apply modern software engineering patterns, including Python, Java, Scala, and Rust, microservices, and distributed systems, as consistent with Booz Allen's AI/ML engineering frameworks.
 * Collaborate with multi-disciplinary teams to identify mission needs, gather requirements, and define technical approaches.
 * Prepare technical documentation, contribute to design reviews, and support customer-driven requirements.


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