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Booz Allen Hamilton · 2 days ago

University, GenAI Engineer

Washington, DC

Full-time

Hybrid

Entry Level

$55K/yr - $126K/yr

2+ years exp

Booz Allen Hamilton is seeking a University, GenAI Engineer to create innovative solutions to complex challenges in federal healthcare. The role involves designing and implementing complex system modules and leveraging expertise in AI and machine learning to develop robust software solutions.

ConsultingCyber SecurityIT InfrastructureManagement ConsultingSecurity

Growth Opportunities

No H1B

Security Clearance Required

Responsibilities

Breaking down use cases, designing, and implementing complex system modules, interfaces, and features

Leveraging technical expertise in AI

Developing new robust, secure, and performant production-grade software

Using communication skills to work with a team to build, test, and operate system capabilities

Applying expertise with AI - GenAI, Agentic AI, and LLMs

Working independently while collaborating with a team to build complex features, integrations, and modules

Guiding clients as they navigate the landscape of ML algorithms, tools, and frameworks

Qualification

Machine Learning EngineeringNatural Language ProcessingGenerative AIProgramming in PythonSoftware ArchitectureContainerization DockerContainerization KubernetesDatabase Management (SQL)API DevelopmentCloud Platforms AWSCloud Platforms AzureCloud Platforms GCPBash ScriptingJavaC++JavaScript FrameworksSoft Skills

Required

2+ years of experience with machine learning engineering, including in an academic or professional environment

Experience with natural language processing and language models

Experience with RAG, AI Agents, and Generative AI techniques

Experience with programming in Python, Java, or C++

Ability to obtain a Secret clearance

Scheduled to obtain a Bachelor's degree by Spring 2026 or Summer 2026

Preferred

Experience in developing software architectures with containerization tools, including Docker and Kubernetes

Experience with machine learning, including linear, reinforcement learning, tree based, or deep learning-based methods and regularization approaches

Experience with databases, including SQL

Experience with software development, including API development or database management, and model deployment and usage with Javascript frameworks, including React, Angular, or Node.js

Knowledge of AWS, Azure, and GCP

Ability to work in a Linux environment with Bash Scripting

Scheduled to obtain a Master's degree in CS, Data Science, Computer Engineering, Systems Engineering, or a related field by Spring 2026