Artificial Intelligence and Machine Learning Engineer

Booz Allen Hamilton

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Camp Lejeune, NC
Salary
$99,000–$225,000 / yr
Employment
Full-time
Posted
28 days ago
Freshness
Confirmed live today
Closes
Dec 28, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $212k
This role $162k
$79k $283k
below market most similar roles pay here above market

This role pays less than 78% of similar roles. Most pay $176,000–$247,228 — the blue band above. At the midpoint, this role pays about $162k versus about $212k for comparable roles.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · Artificial Intelligence and Machine Learning Engineer

The Artificial Intelligence and Machine Learning Engineer joins the team to design, build, and operationalize scalable solutions in secure enterprise environments. This role focuses on leveraging Department of War data to drive operational readiness and tactical decision making by architecting data-driven solutions that enhance situational awareness. You will develop production-grade APIs, manage CI/CD pipelines, and maintain scalable ETL/ELT pipelines. Key responsibilities include implementing MLOps best practices like model monitoring and drift detection while ensuring compliance with NIST SP 800-53 controls. Required technical skills include Python, Java, Bash, SQL, HCL, YAML, JavaScript, or Typescript, alongside containerization tools like Docker and Kubernetes, and orchestration platforms such as NIFI or Airflow. You will also create architecture diagrams and system design documentation to support complex technical strategies.

What you'll do

  • Design, build, and operationalize scalable AI microservices and production-grade APIs using containerization and orchestration.
  • Develop and maintain scalable ETL/ELT pipelines and data flows using tools like Docker, Kubernetes, NIFI, or Airflow.
  • Implement MLOps best practices including model monitoring, drift detection, and automated retraining workflows.
  • Build and manage CI/CD pipelines for automated model serving in production environments.
  • Lead cross-functional efforts to complete ATO accreditation for the release of products in production environments.
  • Create comprehensive architecture diagrams, data flow diagrams, and system design documentation.
  • Develop full-stack solutions using programming languages such as Python, Java, Bash, SQL, and HCL.

What we're looking for

  • Experience leading the deployment and operationalization of scalable AI microservices, production-grade APIs, and CI/CD pipelines.
  • Experience with data orchestration and containerization tools like Docker, Kubernetes, NIFI, or Airflow for ETL/ELT pipelines.
  • Experience leading or participating in cross-functional efforts to complete ATO accreditation for production products.
  • Experience implementing MLOps best practices, including model monitoring, drift detection, and automated retraining workflows.
  • Experience with programming languages such as Python, Java, Bash, Shell, SQL, HCL, YAML, JavaScript, or Typescript.
  • Experience communicating complex technical concepts and creating architecture diagrams for technical and non-technical audiences.
  • Knowledge of NIST SP 800-53 controls.
  • Experience building ETL/ELT pipelines from external data lakes or platforms like Azure, AWS, GCP, or Palantir Maven (preferred).
  • Experience with Lean-Agile methodologies such as Scrum or SAFe (preferred).
  • TS/SCI clearance (preferred).
  • Master's degree in an Artificial Intelligence or Machine Learning field (preferred).

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