Remote Work:

Yes

Job Number:

R0233625

Location:

McLean,VA,US

AI/ML Engineer and AI Shared Service Developer

The Opportunity:

As an experienced AI/ML Engineer, you will help develop and operationalize a secure, scalable, production-grade AI library of reusable solutions and shared services that advance the deployment of common AI solutions across the federal government. You will work closely with solution architects and product owners to deliver high-impact AI/ML solutions across a broad range of use cases. 

In this role, you will design and build, shared services using platforms built on Databricks, Amazon Bedrock, and custom AI/ML models. You will develop AI solutions to accelerate and improve system security, core business functionality such as document processing and virtual agents, and AIOps to streamline cloud and data platform operations. You will work closely with cloud engineers, SRE, and data engineers to develop use cases, prototype solutions, and deploy agents across the cloud infrastructure. You will build and operate production-grade ML pipelines with strong MLOps practices—including versioning, CI/CD, monitoring, drift detection, explainability, and fairness—and integrate with shared enterprise services using API-first and event-driven patterns. You will also harden the platform to meet security and compliance requirements, including ATO, produce architecture and operational documentation, and collaborate closely with product, fraud, and case management teams in an Agile delivery environment. Due to the nature of work performed within this facility, U.S. citizenship is required.

Join us. The world can’t wait.

You Have:  

• 5+ years of experience designing, modifying, developing, writing, and implementing software programming applications using agile methods 
• 5+ years of experience in software development with programming languages, technologies, tools, or web development stacks such as JavaScript, Python, or Scala
• Experience with Amazon Bedrock and Databricks for developing AI solutions
• Experience with agentic coding solutions including GitHub Copilot
• Experience with API-first and event-driven integration patterns, including secure service-to-service communication
• Experience working in Agile delivery environments, including collaborating with product owners, SMEs, and engineering teams
• Knowledge of Responsible AI practices, including explainability, fairness, and bias assessment
• Ability to design and document architecture artifacts, data contracts, and operational runbooks
• Public Trust
• Bachelor's degree

Nice If You Have:  

• Experience with administration of continuous integration/continuous deployment (CI/CD) pipelines using Kubernetes, Docker, or Jenkins
• Master’s degree 
• ML, AI, or solution architecture certification

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; Public Trust determination 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 $86,800.00 to $198,000.00 (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 application process, 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.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific 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.