AI/ML Engineer

Booz Allen Hamilton • Arlington, VA

1d • $99,000 - $225,000

About The Position

Processes data and information at massive scale using artificial intelligence and machine learning technologies, including ML-based NLP, Generative AI, deep neural networks, and other AI/ML technologies. Applies advanced advisory skills or extensive technical expertise and full industry knowledge to develop innovative solutions to complex problems. Works without considerable direction and mentors, and may supervise, team members.

Requirements

• 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, and scalable solutions using supervised and unsupervised ML, deep learning, forecasting, anomaly detection, optimization, or predictive analytics.
• Experience with Generative AI technologies, including Large Language Models (LLMs), Azure OpenAI, Retrieval-Augmented Generation (RAG), agentic AI frameworks, AI orchestration, and emerging AI capabilities.
• Experience developing and maintaining production ML capabilities, including model performance monitoring, explainability, validation, drift detection, retraining strategies, model governance, and operational support.
• Experience integrating AI/ML solutions through APIs, microservices, and containerized architectures using Docker, Kubernetes, or OpenShift.
• Experience with cloud platforms and enterprise data architectures, including Azure or AWS, data lakes, ETL/ELT pipelines, data quality frameworks, metadata management, lineage, and scalable analytics environments.
• Knowledge of CI/CD, version control, Infrastructure-as-Code, observability, and deployment automation.
• Top Secret clearance.
• High school diploma or GED.

Nice To Haves

• Experience with Azure Machine Learning, Azure Functions, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure DevOps, AWS GovCloud, Snowflake, Redshift, Apache Spark, PySpark, or Airflow.
• Experience supporting DoD, Intelligence Community, aerospace, sustainment, logistics, maintenance, readiness, acquisition, or highly regulated federal environments.
• Experience developing enterprise dashboards and analytical products using Power BI, Tableau, Looker, or similar visualization platforms.
• Ability to successfully explain AI solutions to a non-technical audience.
• Strong written, verbal, briefing, technical documentation, and executive communication skills.

Responsibilities

• Develop, deploy, and sustain AI, machine learning, data science, or advanced analytics solutions in production environments.
• Build scalable solutions using supervised and unsupervised machine learning, deep learning, forecasting, anomaly detection, optimization, or predictive analytics.
• Develop and maintain production ML capabilities, including performance monitoring, explainability, validation, drift detection, retraining strategies, model governance, and operational support.
• Integrate AI/ML solutions through APIs, microservices, and containerized architectures.
• Mentor and potentially supervise team members.

Benefits

• Health, life, disability, financial, and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: High school or GED