Job Description
Artificial Intelligence and Machine Learning Engineer The Opportunity: As an experienced AI and ML Engineer, you will help develop and operationalize secure, scalable, and production-grade AI solutions that sustain and advance mission-critical capabilities. You will work as part of a cross-functional team, collaborating with data engineers, data scientists, solution architects, and product owners to deliver high-impact AI and ML solutions across a broad range of use cases. In this role, you will modernize and operate an end-to-end, AI-driven platform built on Databricks, Palantir, Amazon Bedrock, and custom AI and ML models. You will sustain and enhance batch and streaming data pipelines, improve data quality, lineage, and observability, and partner with data engineers and subject matter experts (SMEs) to define data contracts and feature pipelines. You will modernize legacy case selection capabilities by decomposing them into scalable services, operationalizing rules, and model-driven scoring, prioritization, routing, and human-in-the-loop review. You will build and operate production-grade ML pipelines with strong MLOps practices, including versioning, CI/CD, monitoring, drift detection, explainability, and fairness, and integrate with shared enterprise services using API-first and event-driven patterns. You will also harden the platform to meet security and compliance requirements, including ATO, produce architecture and operational documentation, and collaborate closely with product, fraud, and case management teams in an Agile delivery environment. Due to the nature of work performed within this facility, U.S. citizenship is required. Join us. The world can’t wait. You Have: Experience building, deploying, and operating production ML models such as supervised, unsupervised, and anomaly detection, including techniques for imbalanced datasets Experience with ML engineering and MLOps, including model versioning, CI/CD for ML, monitoring, drift detection, and automated retraining Experience with Python and ML frameworks such as scikit-learn, PyTorch, or TensorFlow Experience with Palantir and data engineering platforms such as Databricks, Spark, SQL, and batch and streaming pipelines Experience improving data quality, lineage, and observability in enterprise environment Experience with model-driven scoring for prioritization, routing, or case selection Knowledge of responsible AI practices, including explainability, fairness, and bias assessment Ability to design and document architecture artifacts, data contracts, and operational runbooks Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements Bachelor’s degree Nice If You Have: Experience working in Agile delivery environments and collaborating with product owners, SMEs, and engineering teams Experience with fraud detection, risk analytics, or case selection in government, tax, or financial domains Experience with Amazon Bedrock and integrating custom AI models into enterprise workflows Experience deploying ML solutions in AWS GovCloud or regulated cloud environments Experience with federal ATO processes, continuous compliance, and operating systems under FISMA controls Experience in enterprise modernization programs such as cloud migration, microservices, API strategy, and DevSecOps Knowledge of graph-based analytics and advanced anomaly detection techniques AWS Machine Learning Specialty, Security+, or AI Engineer 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 educati