AI​/ML Engineer

Job Number: R0243093

AI/ML Engineer

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.

• Design, develop, validate, and deploy supervised and unsupervised AI/ML models.
• Implement MLOps pipelines on AWS Gov Cloud using Sage Maker, 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.

• 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 Tensor Flow, 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

• Experience with Databricks Lakehouse Platform
• Experience operating within FedRAMP‑authorized cloud environments
• Experience with Terraform, Cloud Formation, and CI/CD pipelines, such as Git Lab CI or AWS Code Pipeline
• 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

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

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…