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# Artificial Intelligence and Machine Learning Engineer

- **Company:** Booz Allen Hamilton Inc.
- **Location:** United States
- **Salary:** $99,000.0 - $225,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Bash Shell, Cloud Computing, Data Infrastructure, Extract Transform Load (ETL), Monitoring of Systems, Python (Programming Language), Machine Learning, Apache Maven, Scrum Methodology, Scaled Agile Framework, Microsoft SharePoint, SQL Databases, Data Streaming, TypeScript, YAML, Enterprise Data Management, Google Cloud, Cloud Platform System, SC Clearance, Containerization, Data Lakes, Kubernetes, Atlassian Tools, Apache Nifi, Machine Learning Operations, Data Pipelines, Docker, Programming Languages, Microservices
- **Published:** September 29, 2026
- **Apply:** https://www.dice.com/job-detail/e4d8723f-8816-4f98-a083-71e3856af39e

## About the Role

As an MLOps Engineer, you have a passion for leveraging Department of War (DoW) data to drive operational readiness and tactical decision making. You excel at designing, building, and operationalizing scalable solutions in secure enterprise environments integrating datasets from disparate systems. As a member on our team, you'll work directly with the client and stakeholders to architect data-driven solutions that enhance situational awareness and optimize mission execution. You will apply your deep technical knowledge in data orchestration and the development and deployment of solutions to production environments to inform the client's technical strategy for designing and implementing complex systems., * Experience leading the deployment and operationalization of scalable AI microservices, including the development of production-grade APIs using containerization and orchestration, to deliver automated model serving and CI/CD pipelines for production application

 * Experience with data orchestration and containerization tools, such as Docker, Kubernetes, NIFI, or Airflow, to design, deploy and maintain scalable ETL/ELT pipelines, data flows, and production microservices to cloud environments
 * Experience leading or participating in cross-functional efforts to complete ATO accreditation for release of products in production environment
 * Experience implementing MLOps best practices, including model monitoring, drift detection, and automated retraining workflows, while maintaining strict compliance in regulated cloud environments
 * Experience with programming and scripting languages, such as Python, Java, Bash, Shell, SQL, HCL, YAML, JavaScript, or Typescript to support full-stack development efforts
 * Experience communicating complex technical concepts to both technical and non-technical audiences
 * Experience creating clear and comprehensive architecture diagrams, data flow diagrams, and system design documentation to support cross-functional collaboration and stakeholder alignment
 * Knowledge of NIST SP 800-53 controls
 * Secret clearance
 * Bachelor's degree

Nice If You Have:

 * Experience building ETL/ELT pipelines from external data lakes and systems such as the War Data Platform (WDP), Palantir Maven Smart System (MSS), Cloud Platforms such as Azure, AWS, or Google Cloud Platform, and SharePoint
 * Experience with other DoW enterprise data platforms such as Advana or MSS
 * Experience with Lean-Agile methodologies and frameworks such as Scrum or Scaled Agile Framework (SAFe)
 * Experience managing project workflows and documentation across Jira and Confluence for alignment to concurrent initiatives
 * Knowledge of USMC operational planning, intelligence cycles, or logistics processes
 * TS/SCI clearance
 * Master's degree in an Artificial Intelligence or Machine Learning field