Booz Allen Hamilton is hiring an Artificial Intelligence and Machine Learning Engineer to develop and operationalize secure, scalable, production-grade AI solutions that sustain and advance mission-critical capabilities. You will modernize and operate an end-to-end, AI-driven platform built on technologies like Databricks, Palantir, and Amazon Bedrock.
What You'll Do
- Sustain and enhance batch and streaming data pipelines.
- Improve data quality, lineage, and observability.
- Partner with data engineers and SMEs to define data contracts and feature pipelines.
- Modernize legacy case selection capabilities by decomposing them into scalable services.
- Operationalize rules and model-driven scoring, prioritization, routing, and human-in-the-loop review.
- Build and operate production-grade ML pipelines with strong MLOps practices.
- Integrate with shared enterprise services using API-first and event-driven patterns.
- Harden the platform to meet security and compliance requirements, including ATO.
- Produce architecture and operational documentation.
- Collaborate closely with product, fraud, and case management teams in an Agile delivery environment.
What We're Looking For
- Experience building, deploying, and operating production ML models such as supervised, unsupervised, and anomaly detection.
- 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, or SQL, and batch and streaming pipelines.
- Experience improving data quality, lineage, and observability in enterprise data environments.
- Experience operationalizing rules and model-driven scoring for prioritization, routing, or case selection.
- Experience with API-first and event-driven integration patterns, including secure service-to-service communication.
- 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 and 2+ years of experience with DevOps, software, or data engineering, or 5+ years of experience in lieu of a degree.
- U.S. citizenship is required.
Nice to Have
- Experience working in Agile delivery environments, 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 other 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+, AI Engineer, or similar Certification.
Technical Stack
- Languages & Frameworks: Python, scikit-learn, PyTorch, TensorFlow
- Platforms & Tools: Palantir, Databricks, Spark, SQL, Amazon Bedrock, AWS GovCloud
Team & Environment
You will work as part of a cross-functional team, collaborating with data engineers, data scientists, solution architects, and product owners.
Benefits & Compensation
- Compensation: $77,600.00 to $176,000.00 (annualized USD)
- Health benefits
- Life insurance
- Disability insurance
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards program
Work Mode
This position offers a hybrid work mode.
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.
