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# AI/ML Engineer

- **Company:** Booz Allen Hamilton Inc.
- **Location:** Arlington, VA, United States
- **Experience:** Expert
- **Salary:** $99,000 - $225,000
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Artificial Neural Networks, Microsoft Azure, Continuous Integration, Data Governance, Extract Transform Load (ETL), Python (Programming Language), Machine Learning, Meta-Data Management, OpenShift, Power BI, OpenAI, Azure Machine Learning, Azure Data Lake, Tableau (Software), Azure Data Factory, Large Language Models, Snowflake, Multi-Agent Systems, Apache Spark, Deep Learning, Generative AI, Agentic-AI, Data Lakes, Pyspark, Kubernetes, Deployment Automation, Drift Detection, Azure Synapse Analytics, Looker Analytics, Software Version Control, Data Pipelines, Serverless Computing, Docker, Amazon Redshift, Microservices
- **Published:** November 10, 2026
- **Apply:** https://www.dice.com/job-detail/a26e02af-d9e1-4b71-a722-80d221592ae3

## About the Role

* 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 building 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, 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
 * HS diploma or GED

Nice If You Have:

 * 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
 * Possession of strong written, verbal, briefing, technical documentation, and executive communication skills

## Description

Processes data and information at massive scale with artificial intelligence (AI) and machine learning (ML) technologies to include ML-based NLP, Generative AI, Deep Neural Networks, and AI/ML technologies. Applies advanced advisory skills or extensive technical expertise with full industry knowledge. Develops innovative solutions to complex problems. Works without considerable direction. Mentors and may supervise team members.