AI/ML Engineer

AI/ML Engineer The Opportunity: As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using AI/ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support the advancement of AI and ML within our National Resiliency Account. As a machine learning engineer on our National Resiliency team, you’ll train, test, deploy, and maintain models that learn from data. In this role, you’ll own and define the direction of mission-critical solutions by applying best-fit AI/ML algorithms and technologies. You’ll be part of a talented team of artificial intelligence and machine learning engineers across the company and collaborate with business and technical leaders to deliver world-class AI/ML solutions that solve our nation’s toughest and hardest problems. Your skills and extensive technical expertise will guide clients as they navigate the landscape of AI/ML algorithms, tools, and frameworks. Due to the nature of work performed within this facility, U.S. citizenship is required. What You'll Do: Design, develop, validate, and deploy supervised and unsupervised AI/ML models. Implement MLOps pipelines on AWS GovCloud using SageMaker, Step Functions, and Databricks ML Runtime. Build and maintain PySpark and Delta Lake pipelines within a medallion architecture. Develop feature stores aligned to Unity Catalog governance standards. Perform data profiling and quality validation consistent with government data standards. Ensure all AI/ML artifacts comply with Executive Order 14110 AI safety requirements and applicable NIST AI RMF guidance. Maintain model cards, bias assessments, and explainability documentation for all production models. Support Authority to Operate (ATO) activities, including AI-specific control documentation under NIST SP 800-53 Rev 5. Implement model monitoring frameworks for concept drift, data drift, and performance degradation. Produce monthly model performance reports in accordance with COR-approved formats. Maintain retraining cadences and version control using MLflow within Databricks Workspace. Collaborate with program offices, IRS, and partner agencies to translate mission requirements into model specifications. Brief government counterparts at the GS-14/15 and SES level on model performance, risk, and roadmap. Produce artifacts suitable for a detailed government review. Join us. The world can’t wait. You Have: 5+ years of experience designing and delivering production ML systems 2+ years of experience on U.S. federal government programs. Experience in Python such as scikit-learn, XGBoost, PyTorch, or TensorFlow, PySpark, and SQL Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements Bachelor's degree in a Computer Science, Data Science, Statistics, or Applied Mathematics field Nice If You Have: Experience with Databricks Lakehouse Platform Experience operating within FedRAMP-authorized cloud environments Experience with Terraform, CloudFormation, and CI/CD pipelines, such as GitLab CI or AWS CodePipeline Experience with federal or government technology, data, and model standard such as CMMC or RMF Experience with prompt engineering and RAG architecture a plus Knowledge of large language model (LLM) deployment patterns in air-gapped or restricted network environments Public Trust preferred Master’s degree preferred AWS Machine Learning Specialty, Databricks Certified Machine Learning Professional, or equivalent vendor certification Vetting: Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client. 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 $99,000.00 to $225,000.00 (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.