AI/ML Engineer, Lead

Booz Allen Hamilton

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Ashburn, VA
Employment: Full-time
Posted: 69 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $217k

$146k $292k

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This listing doesn't post a salary. Most similar roles pay $179,481–$254,750.

Based on 240 similar postings.

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About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

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At a glance

TL;DR · AI/ML Engineer, Lead

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The AI/ML Engineer, Lead will lead the design, development, and deployment of advanced machine learning systems for enterprise products. This role involves managing the end-to-end ML lifecycle, including data exploration, feature engineering, model training, and deployment in large-scale production environments. You will architect scalable ML pipelines, mentor junior engineers, and build large language model solutions featuring multi-agent orchestration, retrieval-augmented generation, and autonomous workflows. Key technologies include Python, AWS, Azure, GCP, SageMaker, Vertex AI, and MLOps practices like CI/CD and model versioning. You will also optimize models for edge environments using quantization and pruning. The work focuses on solving real-world challenges and defining machine learning strategies specifically for law enforcement and homeland security clients, requiring the ability to translate complex business requirements into technical solutions.

Skills

Python MLOps LLM RAG LangChain LangGraph LlamaIndex AutoGen CrewAI AWS Azure GCP SageMaker Vertex AI Docker Kubernetes TensorRT ONNX Runtime OpenVINO TensorFlow Lite CI/CD Quantization Pruning Distillation

What you'll do

Design, develop, and deploy machine learning models and AI systems for large-scale production environments.
Lead end-to-end ML lifecycle processes including data exploration, feature engineering, model training, and evaluation.
Architect scalable ML pipelines and infrastructure using modern frameworks and cloud technologies.
Design and deploy large language model (LLM) and agentic AI solutions using RAG and multi-agent orchestration.
Optimize and deploy models for edge environments using quantization, pruning, and distillation techniques.
Monitor and optimize deployed models for accuracy, performance, drift, and ethical considerations.
Partner with data engineering teams to ensure high-quality datasets and robust pipeline integrations.

What we're looking for

8+ years of experience developing and deploying machine learning models in production environments.
Bachelor’s degree in a Computer Science, Data Science, or Engineering field.
Experience in Python and ML frameworks.
Experience with cloud platforms (AWS, Azure, or GCP) and tools like SageMaker, Azure ML, or Vertex AI.
Experience building data pipelines and MLOps practices including CI/CD, model versioning, and monitoring.
Knowledge of ML algorithms, statistics, model optimization, and evaluation methodologies.
Ability to design distributed systems and work with microservice-based architectures.
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination.

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