AI/ML Engineer

About the Role

As an AI/ML Engineer on our defense technology team, you will train, test, deploy, and maintain models that learn from data. You will contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You will collaborate with customers and other engineers to solve real-world problems and define ML strategy for defense technology.

Key Responsibilities

• Train, test, deploy, and maintain models that learn from data.
• Apply best-fit ML algorithms and technologies to mission-critical solutions.
• Collaborate with customers and other engineers to deliver world-class solutions.
• Help clients navigate the landscape of ML algorithms, tools, and frameworks.

Requirements & Tech Stack

• 1+ years of experience in artificial intelligence (AI), ML, data science, data engineering, or software development, including developing and deploying ML models.
• Experience integrating large language models (LLMs) or agentic workflows into software stacks.
• Experience with deep learning, computer vision, or generative AI.
• Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, or vLLM.
• Experience using AI productivity tools for coding such as Cursor, Codex, or Devin.
• Ability to solve complex and critical problems, iterate rapidly, and deliver results independently and collaboratively.
• Ability to obtain a Secret clearance.
• Bachelor’s degree.

Nice to Have

• 1+ years of experience working in cloud environments, including AWS and Azure.
• Experience deploying and integrating production-grade ML models using tools such as Docker and Kubernetes.
• Experience with client engagements, client-facing project work, and business development.
• Experience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and other services.
• Experience with ML libraries and frameworks, including scikit-learn, TensorFlow, or PyTorch.
• Knowledge of cloud and data platforms such as AWS, Azure, GCP, Databricks, or Palantir Foundry.
• Master’s degree in CS, Computer Engineering, Mathematics, Data Science, Software Engineering, Electrical Engineering, Physics, or a related field.

Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Compensation

The projected compensation range for this position is $55,200.00 to $126,000.00 (annualized USD).

Work Model

• Remote, Hybrid, or Onsite work models may apply, with potential requirements to work in person at a Booz Allen or customer facility. Employees working virtually are generally expected to have their cameras on during meetings.

Note: The company utilizes AI in its daily work and is committed to responsible and ethical use. The use of AI or other tools to assist with responses during interviews is prohibited unless explicitly permitted.