About the role As an AI/ML Engineer at Booz Allen, you will help design, build, and implement practical artificial intelligence and machine learning capabilities that enhance OPIR missions to support faster, more informed decision‑making across the national security ecosystem. You will contribute across the development lifecycle—supporting data processing, model creation, MLOps workflows, and the integration of scalable AI solutions into operational environments—while working closely with senior engineers and mission partners. Your work will leverage deep experience with ML‑based NLP, LLMs and generative AI, computer vision, and modern software engineering practices, consistent with the firm’s AI/ML engineering role definitions. You will partner closely with cross‑functional engineering, mission SMEs, and product teams to deliver production‑grade systems aligned with Booz Allen’s AI modernization approaches. Responsibilities Develop and implement AI-engineered signal-processing and automation tools and capabilities for domain applications Collaborate with multidisciplinary teams to design, develop, test, and deploy technical solutions in support of modernizing analysis workflows Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of applications and processes Contribute to the architecture and implementation of novel approaches for rapidly fielding capabilities, including using streaming data sets and NRT feeds Join us. The world can’t wait. Requirements 4+ years of experience developing AI/ML capabilities to operate in a microservice stack Experience with devising AI-agent planning, reasoning, and execution loops Experience with Python-based ML frameworks such as PyTorch or TensorFlow Experience with demonstrating statically-sound model evaluation and AI quality metrics Experience building, deploying, and operating production ML models using either supervised, unsupervised, or anomaly detection efforts Active TS/SCI clearance; willingness to take a polygraph exam Bachelor's degree in a STEM field Nice If You Have Experience in GPU programming, including CUDA or RAPIDs Experience with AWS and containerization of models in a classified environment Experience with ML engineering and MLOps, including model versioning, CI/CD for ML, monitoring, drift detection, and automated retraining Knowledge of modern software design patterns, including micro-service design and orchestration in Kubernetes deployment Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field 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. Benefits 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. 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.
