Booz Allen Hamilton is seeking an experienced Artificial Intelligence & Machine Learning Engineer to design, train, test, deploy, and maintain end-to-end AI/ML systems for defense-focused missions. This onsite role in Arlington, VA emphasizes production reliability and the application of modern MLOps practices across mission-critical environments. The position offers a competitive salary range and the opportunity to shape AI/ML strategy for defense and beyond.
Responsibilities
- Design, train, test, deploy, and maintain end-to-end AI/ML systems so models perform reliably in production, not just in development.
- Define the direction of mission-critical solutions by selecting appropriate algorithms, architecting AI/ML pipelines, and applying contemporary MLOps practices.
- Collaborate with data engineers, data scientists, software engineers, and product owners to deliver world-class solutions.
- Provide technical leadership that helps clients navigate AI/ML toolchains, frameworks, and operational strategies.
- Contribute to real-world problem solving and shape AI/ML strategy for the Defense sector and beyond.
Requirements
- 4+ years of experience as an Artificial Intelligence/ML Engineer or Advanced Data Scientist.
- Experience deploying and integrating production-grade AI/ML models using Docker or Kubernetes.
- Experience with Large Language Models, Deep Learning, or Reinforcement Learning, and frameworks such as TensorFlow, PyTorch, vLLM, and Ollama.
- Knowledge of MLOps principles and designing ML algorithms integrated into production systems.
- Ability to train, optimize, and integrate AI/ML algorithms across high-throughput text, image, or video data feeds.
- Secret clearance.
- Bachelor's degree.
Technologies
- Docker
- Kubernetes
- Large Language Models (LLMs)
- TensorFlow
- PyTorch
- vLLM
- Ollama
Benefits
- Health, life, disability, financial, and retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards program
You have
- 4+ years of experience as an Artificial Intelligence/Machine Learning Engineer or Advanced Data Scientist
- Experience deploying and integrating production-grade AI/ML models using Docker or Kubernetes
- Experience with Large Language Models (LLMs), Deep Learning or Reinforcement Learning algorithms, along with TensorFlow, PyTorch, vLLM, and Ollama
- Knowledge of MLOps principles and the design and implementation of ML algorithms deployed to production environments
- Ability to train, optimize, and integrate AI/ML algorithms across high throughput text, image, or video data feeds
- Secret clearance
- Bachelor's degree
Nice If You Have
- Experience in cloud environments such as AWS or Azure
- Experience building production-quality ML-enabled software components like RESTful APIs, microservices, or real-time inference pipelines
- Familiarity with agentic AI frameworks and integrating agent-based systems into production
- TS/SCI clearance
- Master's degree
Clearance
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation
The compensation range for this role is 77,600 to 176,000 USD per year, with final figures determined by location, education, experience, and contract requirements. This range represents the typical salary for the position and is one component of Booz Allen’s total compensation package.
Identity verification
As part of the hiring process, you may complete an identity verification process that uses biometrics and AI to ensure authenticity and prevent fraud. Interviews and assessments may require you to be on camera, and Booz Allen reserves the right to capture your photo for verification purposes.
Candidate AI usage
AI is integrated into Booz Allen’s daily work, and the firm emphasizes responsible use. Use of AI or other tools to assist with interview responses is not allowed unless explicitly permitted.
Work model
Onsite: work will primarily occur at a Booz Allen office or customer facility. Hybrid: periodic work from a Booz Allen facility with potential visits to customer sites. Remote: some remote work may be possible, with in-person requirements as needed.
Commitment to non-discrimination
All qualified applicants will be considered for employment without regard to disability, protected veteran status, or any other status protected by applicable law.
