Senior AI/ML Engineer

Booz Allen Hamilton

. Design, develop, and implement AI/ML models, including NLP, LLM-based pipelines, deep learning architectures, and computer vision models .

Posted 9/25/2026full-timeUnited StatesSenior💰 $99,000 - $225,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformJavaKubernetesMicroservicesNumpyPandasPythonPyTorchRustScalaScikit-LearnTensorflowTypeScript

About the role

Key responsibilities & impact

Design, develop, and implement AI/ML models, including NLP, LLM-based pipelines, deep learning architectures, and computer vision models
Build and optimize scalable data pipelines for model training, evaluation, and continuous improvement
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 A/B testing
Apply modern software engineering patterns using Python, Java, Scala, Rust, microservices, and distributed systems
Collaborate with multidisciplinary teams to identify mission needs, gather requirements, and define technical approaches
Prepare technical documentation, contribute to design reviews, and support customer-driven requirements

Requirements

What you’ll need

3+ years of experience developing ML models such as NLP or LLM, computer vision, 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 to have: GPU programming, including CUDA or RAPIDS
Nice to have: data processing frameworks and scientific computing libraries such as NumPy, Pandas, PyTorch, TensorFlow, or scikit-learn
Nice to have: AWS and containerization of models in a classified environment
Nice to have: LLM orchestration, RAG pipelines, grounding, or hallucination-mitigation workflows
Nice to have: MLOps platforms, distributed training, or hybrid cloud environments such as AWS, Azure, and GCP
Nice to have: automated testing tools and model evaluation frameworks
Nice to have: CI/CD tooling, GitLab, Docker, Podman, or Kubernetes
Nice to have: Master’s degree in CS, AI Engineering, ML Engineering, Data Science, or a STEM field
Nice to have: AI/ML, Cloud, or Solution Architecture industry certifications
TS/SCI clearance is required; applicants may need to meet eligibility requirements for access to classified information

Benefits

Comp & perks

Health benefits
Life insurance
Disability benefits
Financial benefits
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards for exceptional performance and superior demonstration of company values