AI/ML Engineer
Booz Allen Hamilton3 days ago
Base Salary
$99k - $225k/yr
Responsibilities
- Develop, deploy, and sustain AI, machine learning, data science, and advanced analytics solutions in production environments.
- Build scalable solutions using supervised and unsupervised machine learning, deep learning, forecasting, anomaly detection, optimization, and predictive analytics.
- Develop generative AI capabilities using large language models, Azure OpenAI, retrieval-augmented generation, agentic AI frameworks, and AI orchestration.
- Maintain production ML capabilities including model performance monitoring, explainability, validation, drift detection, retraining strategies, model governance, and operational support.
- Integrate AI/ML solutions through APIs, microservices, and containerized architectures.
- Work with cloud platforms, enterprise data architectures, data lakes, ETL/ELT pipelines, data quality frameworks, metadata management, data lineage, and scalable analytics environments.
- Develop innovative solutions to complex problems with limited direction and mentor or supervise team members.
- Explain AI solutions to non-technical audiences and produce technical, briefing, and executive communications.
Requirements
- At least 5 years of experience developing, deploying, and sustaining AI, machine learning, data science, or advanced analytics solutions in production environments.
- Experience with Python, machine learning frameworks and libraries, scalable machine learning solutions, and production AI/ML capabilities.
- Experience with generative AI, large language models, Azure OpenAI, retrieval-augmented generation, agentic AI frameworks, and AI orchestration.
- Experience integrating AI/ML solutions using APIs, microservices, Docker, Kubernetes, or OpenShift.
- Experience with Azure, AWS, enterprise data architectures, data lakes, ETL/ELT pipelines, data quality, metadata, lineage, and scalable analytics environments.
- Knowledge of version control, infrastructure as code, observability, and deployment automation.
- Top Secret clearance is required, with eligibility for access to classified information.
- HS diploma or GED is required.
- Preferred qualifications include Azure Machine Learning, Azure Functions, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure DevOps, AWS GovCloud, Snowflake, Redshift, Apache Spark, PySpark, Airflow, Power BI, Tableau, or Looker experience.
- Preferred experience includes DoD, Intelligence Community, aerospace, sustainment, logistics, maintenance, readiness, acquisition, or regulated federal environments and development of enterprise dashboards or analytical products.
- Strong written, verbal, briefing, technical documentation, and executive communication skills are preferred.
Benefits
- Health, life, disability, financial, and retirement benefits are offered.
- Paid leave, professional development, tuition assistance, work-life programs, and dependent care benefits are offered.
- Recognition awards are available for exceptional performance and demonstration of company values.
- Full-time and part-time employees working at least 20 hours per week on a regular basis are eligible for the company's benefit programs; employees below that threshold receive select offerings but not health benefits.
Tech Stack
Categories
About Booz Allen Hamilton
Booz Allen Hamilton builds and integrates software, analytics, AI, cloud, and cybersecurity solutions while providing engineering and consulting services, primarily for U.S. defense, intelligence, and civil government clients, with select commercial partnerships. Its business is largely government contracting and professional services delivering mission systems and cyber defense. Founded in 1914 and headquartered in McLean, Virginia, Booz Allen is a public company traded on the NYSE (ticker: BAH).