The Opportunity:

Design and implement effective AI solution architecture or strategy utilizing approaches of various AI technologies and methods to address clients' business problems and needs while complying with the organization’s strategies, business goals, and key ethical considerations. Apply leading-edge principles, theories, and concepts and contribute to the development of new principles and concepts. Work on unusually complex problems and provide highly innovative solutions. Operate with substantial latitude for unreviewed action or decision. Mentor or supervise employees in both company and technical competencies.

You Have:

• 3+ years of experience in application development, AI/ML engineering, software engineering, or data science

• 3+ years of experience designing, developing, operationalizing, and maintaining complex software or machine learning applications at enterprise scale

• 1+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data to support machine learning workflows

• 1+ years of experience building scalable data pipelines, ETL/ELT workflows, or model training and deployment pipelines

• Experience creating solutions within a collaborative and cross-functional team environment

• Ability to code and develop scalable solutions from scratch using languages such as Python or TypeScript

• Ability to navigate ambiguity, problem-solve creatively, and operate with minimal supervision

• Ability to develop scripts and programs for converting various types of data into usable formats and support project teams to scale, monitor, and operate AI/ML platforms

• TS/SCI clearance

• Bachelor’s degree in Computer Science, Data Science, or Mathematics and 3+ years of experience in a professional technical work environment or 7+ years of experience in a professional technical work environment in lieu of a degree

Nice If You Have:

• Experience with full-stack application development or deploying ML models

• Experience with Palantir tools such as Foundry

• Experience with distributed data or computing tools, including Spark, Databricks, or pipeline data science tools such as Alteryx

• Experience working on real-time data, streaming applications, or AI model deployment

• Experience with data warehousing using AWS RDS, PostgreSQL, or Snowflake

• Experience with Agile engineering practices

• Ability to rapidly master new AI/ML frameworks, libraries, and tools

• Ability to be technically curious and eager to learn

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​Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI 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.

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, whether it occurs in person or virtually. 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 facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or 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.