Artificial Intelligence and Machine Learning Engineer

Booz Allen Hamilton; Marine Corps Base Camp Lejeune (NC); Hybrid; USD 99,000 - 225,000; Full time

Benefits offered by this job

Health insurance

Life insurance

Disability benefits

Retirement benefits

Paid leave

Tuition assistance

Professional development

Work-life programs

Dependent care

Job summary

Booz Allen Hamilton seeks an AI/ML Engineer to unlock insights from data and deploy scalable ML systems in secure enterprise environments. You will design, build, and operationalize AI/ML solutions, collaborating with clients and stakeholders to inform technical strategy and ensure regulatory compliance.

You will deploy production-grade APIs, manage data orchestration with Docker/Kubernetes and Airflow/NiFi, and contribute to the client’s mission-ready tech stack with a strong emphasis on

Qualifications

• Experience leading deployment of scalable AI microservices and production-grade APIs via containers.
• Experience with data orchestration and containerization tools (Docker, Kubernetes, NiFi, Airflow) for ETL/ELT pipelines.
• Experience in cross-functional teams to achieve ATO accreditation for production releases.
• Knowledge of MLOps best practices, including model monitoring and automated retraining in regulated cloud environments.
• Proficiency in Python, Java, Bash/Shell, SQL, YAML, or JavaScript/TypeScript for full-stack development.
• Ability to communicate complex tech concepts to diverse audiences.
• Ability to create architecture and data flow diagrams to support collaboration.
• Familiarity with NIST SP 800-53 controls.
• Active Secret clearance and Bachelor’s degree required.

Responsibilities

• Architect data-driven solutions to improve operational readiness and decision making.
• Collaborate with clients and stakeholders to guide technical strategy and implementation.
• Develop and deploy scalable ML workflows and APIs in production environments.
• Lead or contribute to cross-functional efforts ensuring security and compliance.

Skills

AI microservices

Docker

Kubernetes

ETL/ELT pipelines

MLOps best practices

Python/Java/Shell/SQL

Communication

Architecture diagrams

NIST SP 800-53

Secret clearance

Bachelor's degree

Education

Bachelor's degree

Tools

Docker

Kubernetes

NiFi

Airflow

Job description

Join a culture of empowerment and connectivity.

Develop your craft

Learn the skills you need to accelerate your career.

Discover benefits that support your life and work.

Innovate with intention

Build mission-ready tech that protects the nation.

Artificial Intelligence and Machine Learning Engineer

The Opportunity:

Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances?

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.

Join us. The world can't wait.

You Have:

• 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 GCP, 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

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

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model

Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.