AI & ML Engineer, Lead

Booz Allen Hamilton•Bethesda, MD

20h

About The Position

AI & ML Engineer, Lead The Opportunity: As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support the usage of artificial intelligence in the government healthcare space. As a machine learning engineer on ou Health and Life Sciences team, you’ll train, test, deploy, and maintain models that learn from data. In this role, you’ll lead the direction of mission-critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies. You’ll share your knowledge with a large community of machine learning engineers across the company and collaborate with data scientists, AI solution architects, and cloud engineers to deliver world-class solutions to deploy and scale AI and ML solutions. Your skills and extensive technical expertise will guide clients as they navigate the landscape of AI and ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and define ML strategy for U.S. government health and life sciences clients. Join us. The world can’t wait.

Requirements

8+ years of experience designing and implementing complex enterprise systems
5+ years of experience in data architecture, solutions architecture, software or cloud engineering, ML engineering, or data management
Experience as a solution or enterprise architect emphasizing data and analytics for enterprise infrastructure in a matrixed organization with legacy systems
Experience with engineering, including writing code or implementing systems
Experience with data governance, integration patterns, and platform scalability in large enterprises
Experience with AI and ML or data transformation pipelines or cross-platform integration using AWS, Azure, Databricks, or open-source cloud tools
Ability to reason through architectural trade-offs and technical limitations
Ability to translate technical concepts for senior stakeholders, build alignment across teams, and create and communicate technical solutions for clients in verbal and written formats
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
HS diploma or GED

Nice To Haves

Experience consolidating or rationalizing redundant tools or platforms
Experience building and deploying generative or agentic AI systems into production
Experience in high-visibility, cross-functional initiatives involving business transformation or digital modernization
Experience with AI and ML platform orchestration or intelligent automation at scale
Experience developing machine learning algorithms
Experience gathering requirements and leading Agile teams
Knowledge of modern software design patterns, including microservices, event-driven and architecture
Ability to act as a bridge between strategy and implementation without day-to-day oversight
Bachelor’s degree