AI Engineer
USA, VA, Arlington (Pentagon Army Navy Dr & Fern St), United States
â ď¸ We'll shut down after Aug 1st - try foođŚ for all jobs in tech â ď¸
Full Time Entry-level / Junior Clearance required USD 55K - 126K
Booz Allen Hamilton
We transform missions with tomorrowâs technologies to advance the countryâs most critical civil, defense, and national security priorities.The Opportunity:Â
Ready to apply your AI and machine learning skills to real-world challenges? As a Junior AI Engineer, youâll be part of a mission-focused AI Delivery team supporting the U.S. Air Force. From day one, your passion for AI, curiosity about new technologies, and strong problem-solving mindset will help shape the future of national defense.
In this role, youâll help design, build, and deploy AI solutions that tackle complex operational problems. Youâll work alongside experienced data scientists, M&S experts, and software engineers to experiment with state-of-the-art machine learning (ML) models, evaluate their performance, and integrate them into production systems that support warfighter decision-making.
Whether itâs applying foundational models, fine-tuning LLMs, or contributing to custom solutions, youâll get hands-on experience with a wide range of AI technologies. Youâll also join a growing community of AI professionals focused on advancing responsible AI and scaling impact across the Department of the Air Force.
Work with us to bring the best of AI innovation to the front lines of national security.
Join us. The world canât wait.Â
You Have:âŻÂ
Experience with ML, deep learning, or data science
Knowledge of Python and ML frameworks, such as PyTorch, TensorFlow, or scikit-learn
Ability to analyze data, train and evaluate models, and explain results clearly to technical and non-technical audiences
Ability to obtain a Secret clearance
Bachelorâs degree in a Computer Science, Data Science, Engineering, or Mathematics field
Nice If You Have:âŻÂ
Experience with deploying ML models using Docker, FastAPI, or MLflow, working on team-based software projects, or using version control, such as Git
Knowledge of responsible AI principles, LLMs, or MLOps best practices
Ability to contribute to a cross-functional technical team, take initiative in exploring new tools, and adapt quickly to shifting priorities
Secret clearance
Masterâs degree in a related field
CompTIA Security+, AWS Certified Machine Learning â Specialty, or similar certification
Clearance:âŻ
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
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 Allenâs 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 individualâs 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 $55,200.00 to $126,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allenâs 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, youâll periodically work from a Booz Allen or client site facility.
- If this position is listed as onsite, youâll 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.
Tags: AWS Computer Science Deep Learning Docker Engineering FastAPI Git LLMs Machine Learning Mathematics MLFlow ML models MLOps Python PyTorch Responsible AI Scikit-learn Security TensorFlow
Perks/benefits: Career development Health care
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