Artificial Intelligence and Machine Learning Engineer

Booz Allen; North Carolina; On-site; USD 99,000 - 225,000; Full time

Job summary

Booz Allen is seeking an Artificial Intelligence and Machine Learning Engineer to lead deployment of scalable AI microservices and automated model serving in secure cloud environments. The role emphasizes MLOps, data orchestration, and building production-grade APIs with containerized services.

Applicants should have strong communication skills, experience with Docker/Kubernetes/NiFi/Airflow, and familiarity with NIST SP 800-53 controls. A Secret clearance and a Bachelor's degree are required.

Qualifications

• Experience deploying scalable AI microservices in production.
• Experience containerizing APIs and operating CI/CD pipelines.
• Experience with Docker, Kubernetes, NiFi, or Airflow for ETL/ELT pipelines.
• Experience leading cross-functional efforts for release accreditation.
• Experience implementing MLOps with monitoring and retraining workflows.
• Proficient in Python, Java, Bash, SQL, or related languages.
• Ability to communicate complex concepts to diverse audiences.
• Familiarity with NIST SP 800-53 controls.
• Security clearance.
• Bachelor's degree.

Responsibilities

Skills

AI microservices

CI/CD pipelines

Containerization

Cross-functional leadership

MLOps

Data orchestration

Cloud deployment

Communication skills

Architecture diagrams

Security clearance

Education

Bachelor's degree

Tools

Docker

Kubernetes

NiFi

Airflow

Jira

Confluence

Job description

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?

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.