AI Model Engineer

Remote Work:

No

Job Number:

R0249971

Location:

Springfield,VA,US

AI Model Engineer

The Opportunity: 

As an AI Model Engineer, you’ll advance organizational strategy to deliver leading edge capabilities and drive transformation. You’ll play a key part in operationalizing Artificial Intelligence (AI) and Machine Learning (ML) models into production analytical workflows, enabling improved decision advantage across mission areas.

 

What You’ll Work On:

• Develop, refine, and deploy AI/ML models into operational environments.
• Integrate models into analytical workflows to enhance mission efficiency and effectiveness.
• Collaborate with data scientists, engineers, and mission stakeholders to translate analytical needs into scalable technical solutions.
• Establish best practices for model lifecycle management, monitoring, and performance optimization.
• Ensure model reliability, reproducibility, and compliance with applicable security and technical standards.
• Support ongoing modernization initiatives by evaluating emerging technologies and tools.

 

Join us. The world can’t wait. 

 

You Have:  

• 5+ years of experience in AI/ML engineering, data science, or software engineering
• 3+ years of experience developing, training, and deploying ML models into production environments
• Experience building, training, and deploying AI/ML models within secure environments
• Experience with Python and common ML frameworks such as PyTorch or TensorFlow
• Knowledge of data engineering concepts, version control, and MLOps methodologies
• Ability to communicate complex technical concepts to various stakeholders
• Ability to travel up to 25% of the time
• TS/SCI clearance
• Bachelor’s degree in CS, Data Science, AI, Electrical Engineering, or Applied Mathematics

 

Nice If You Have:  

• Experience with geospatial data, analysis tools, or model development
• Experience with distributed computing, containerization, and workflow orchestration tools
• Experience designing inference pipelines optimized for performance and scalability
• Experience supporting DoW organizations or intelligence workflows
• Knowledge of emerging AI/ML trends relevant to mission-driven environments

 

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.

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 $77,600.00 to $176,000.00 (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, 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.