{bc}
Apply
workday

AI/ML Engineer, Senior

Booz Allen Hamilton
Aurora, USA
Full-time
Senior · 5+ years experience
Onsite
Discovered 2 weeks ago

Full Job Posting

What You'll Do

  • 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, or 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 accreditation or security processes as required in classified environments
  • You Have:
  • 5+ years of experience developing machine learning models, such as NLP, LLM, CV, deep learning, generative AI, or reinforcement learning
  • 5+ years of experience developing AI/ML capabilities to operate in a microservice stack
  • Experience developing or maintaining production‐grade APIs, microservices, or distributed systems
  • Experience with data processing frameworks and scientific computing libraries, such as NumPy, Pandas, PyTorch, TensorFlow, or scikit‐learn
  • Experience designing, configuring, or deploying software systems in operational environments
  • Experience with CI/CD tooling, source control, such as GitLab, and containerization technologies, such as Docker, Podman, or Kubernetes
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor's degree in a STEM field
  • Nice If You Have:
  • Experience in GPU programming, including CUDA or RAPIDs
  • 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, or GCP
  • Knowledge of automated testing tools and model evaluation frameworks
  • Master’s degree in Computer Science, AI/ML Engineering, Data Science, or related STEM field
  • AI/ML, cloud, or solution architecture certifications
  • Clearance:
  • Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Qualifications

  • Experience with data processing frameworks and scientific computing libraries, such as NumPy, Pandas, PyTorch, TensorFlow, or scikit‐learn
  • Experience with CI/CD tooling, source control, such as GitLab, and containerization technologies, such as Docker, Podman, or Kubernetes
  • Bachelor's degree in a STEM field
  • 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, or GCP

Apply for this job in 1 click

Skip the repetitive application forms

Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.

Sarah M.James T.Maya R.

Trusted by over 500,000 job seekers on Base Career

Start Free Today

More from this employer

More jobs at Booz Allen Hamilton

Vectra AI Integration Engineer, Mid

Reston, USA

Discovered TodayFull-time

Land Mobile Radio Specialist

Chantilly, USA

Discovered TodayFull-time

Cloud Platform Engineer, Mid

Lexington, USA

Discovered TodayFull-time

Data Scientist, Junior

Washington, USA

Discovered TodayFull-time

Contracts Manager, Mid

McLean, USA

Discovered TodayFull-time

Solution Architect

Bethesda, USA

Discovered TodayFull-time

University - 2027 Summer Games Systems Engineer Intern - Lexington, MA

Lexington, USA

Discovered TodayPart-time

Data Analyst

Washington, USA

Discovered TodayFull-time