Senior MLOps Engineer, Cloud AI Platform

Booz Allen; Chantilly (VA); On-site; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton is seeking an experienced MLOps Engineer in Chantilly, VA to design and build an ML platform that speeds development to production for mission-critical workloads. The role focuses on Python, containerized services, and cloud-native ML pipelines across the lifecycle.

The ideal candidate has 5+ years in OOP, cloud, and MLOps, with TS/SCI clearance and a path to security certifications. This is a hybrid opportunity connecting teams across federal programs.

Qualifications

• 5+ years in OOP (Python) and software development.
• 5+ years building containerized apps with API design and authentication.
• 5+ years cloud experience, especially AWS.
• 5+ years using ML CI/CD/ML pipelines for data, training, deployment and monitoring.
• 5+ years developing prompts, tools, and agents with LLMs.
• Knowledge of ML lifecycle and building MLOps ecosystems.
• TS/SCI clearance with a polygraph.
• Bachelor’s degree in CS or Software Engineering.
• Ability to obtain Security+ CE, SSCP, CCNA-Security, or GSEC within 6 months.

Skills

Python

Containerized apps

AWS

ML CI/CD

LLMs prompts/tools

ML lifecycle

TS/SCI clearance

Education

Bachelor’s degree in CS or Software Engineering

Tools

AWS SageMaker

Lambda

API Gateway

DynamoDB

S3

Bedrock

IAM

Kubernetes

Helm

Terraform

Git

Job description

Booz Allen Hamilton is seeking an experienced MLOps Engineer in Chantilly, VA to design and build an ML platform that speeds development to production for mission-critical workloads. The role focuses on Python, containerized services, and cloud-native ML pipelines across the lifecycle.

The ideal candidate has 5+ years in OOP, cloud, and MLOps, with TS/SCI clearance and a path to security certifications. This is a hybrid opportunity connecting teams across federal programs.