AI/ML Engineer, Senior
Role Overview
Design, build, and deploy advanced AI/ML solutions to modernize mission systems and support decision-making across the national security ecosystem.
Work spans data processing, model development, MLOps, and integration of scalable AI capabilities into operational environments.
Partner with cross-functional engineering teams, mission subject-matter experts, and product teams.
Key Skills for This Role
Full Job Posting
Role overview
Design, build, and deploy advanced AI/ML solutions to modernize mission systems and support decision-making across the national security ecosystem.
Work spans data processing, model development, MLOps, and integration of scalable AI capabilities into operational environments.
Partner with cross-functional engineering teams, mission subject-matter experts, and product teams.
What you will work on
- Develop NLP, LLM-based, deep learning, and computer vision models aligned with mission requirements.
- Build scalable data pipelines for training, evaluation, and model improvement.
- Develop production systems, including microservices, APIs, automation frameworks, and cloud-native or edge AI services.
- Integrate AI/ML into operational environments, focusing on security, reliability, observability, and performance.
- Tune and version models and conduct A/B testing.
- Use modern software engineering patterns and distributed systems practices; prepare documentation and contribute to design reviews.
Required qualifications
- 5+ years developing ML models such as NLP or LLM, computer vision, deep learning, generative AI, or reinforcement learning.
- Experience developing AI/ML capabilities for microservice stacks and production 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.
- Active TS/SCI clearance; willingness to take a polygraph exam.
- Bachelor’s degree in a STEM field.
Preferred qualifications
- GPU programming, including CUDA or RAPIDS; AWS and model containerization in classified environments.
- LLM orchestration, RAG, grounding, hallucination mitigation, MLOps, distributed training, or hybrid cloud experience.
- Automated testing, model evaluation, CI/CD, GitLab, Docker, Podman, or Kubernetes experience.
- Master’s degree in a related field or AI/ML, cloud, or solution architecture industry certification.
Compensation
- Projected compensation range is $99,000 to $225,000 annualized USD; the estimate depends on location, qualifications, experience, contract affordability, and organizational requirements.
- Benefits include health, life, disability, financial and retirement benefits, paid leave, professional development, tuition assistance, work-life programs, and dependent care.
Hiring information
Applicants selected will undergo a security investigation and must meet eligibility requirements for classified information access.
Interview and assessment responses are expected to reflect the candidate’s own skills; AI assistance is prohibited unless explicitly permitted.
The posting states that selected applicants may need to complete identity verification and appear on camera during interviews and assessments.
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.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at Booz Allen Hamilton
University - 2027 Summer Games Systems Engineer Intern - Lexington, MA
Lexington, USA
Vectra AI Integration Engineer, Mid
Reston, USA
Land Mobile Radio Specialist
Chantilly, USA
Cloud Platform Engineer, Mid
Lexington, USA
Data Scientist, Junior
Washington, USA
Contracts Manager, Mid
McLean, USA
Solution Architect
Bethesda, USA
University - 2027 Summer Games Systems Engineer Intern - Lexington, MA
Lexington, USA
Data Analyst
Washington, USA