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Booz Allen Hamilton · 4 hours ago

AI Engineer

Atlanta, GA

Full-time

Hybrid

Entry, Mid Level

$129K/yr - $292K/yr

2+ years exp

Booz Allen Hamilton is seeking an AI Engineer to design and build knowledge frameworks that enable AI systems to interact with public health data. The role involves collaborating with data engineers and AI teams to optimize performance, ensure data quality, and maintain compliance with data privacy standards.

ConsultingCyber SecurityIT InfrastructureManagement ConsultingSecurity

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Design and build robust knowledge frameworks enabling AI systems to dynamically interact with structured and unstructured public health data, facilitating real-time insights and decision-making support

Leverage knowledge of the design and implementation of base architectures, data modeling for AI agents, Memory and State Management, and construction of RAG Pipeline Design to facilitate multi-modal data integration, partnering closely with data engineers on data pipeline coordination

Lead performance optimization of retrieval processes for public health use cases and define rigorous data quality and curation standards

Collaborate with AI teams and maintain thorough documentation of data architecture

Ensure compliance with data privacy standards, anonymization protocols, and ethical guidelines critical to public health data management

Qualification

Generative AILarge Language ModelsPythonRAG architecturesCloud servicesDocument processingContainerizationMLOps practicesAI-assisted codingDebugging AI codeHuman-in-the-LoopAI evaluation frameworks

Required

2+ years of experience in Generative AI, including work with Large Language Models (LLMs)

Experience with Python programming language and with the deployment and integration of AI solutions on a major cloud service provider, including Azure, AWS, or GCP

Experience in document processing workflows, including ingestion and transformation of formats such as PDF, Word, and HTML and development of vector databases for semantic search and retrieval

Experience designing and implementing Retrieval-Augmented Generation (RAG) architectures for production environments

Experience working with AI-assisted coding tools

Knowledge of containerization and orchestration technologies, including Docker or Kubernetes, and implementation of CI/CD pipelines for AI and ML workflows

Knowledge of one Agentic AI framework, including Google ADK, Strands, Pydantic-AI, LangGraph, Microsoft Agent Framework, or OpenAI Agents SDK

Ability to meaningfully review, 'sniff-check,' and debug AI-generated code for security and correctness

Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements

Bachelor's degree

Preferred

Experience in full-stack development or deployment of end-to-end machine learning applications

Experience fine-tuning large-scale models for domain-specific tasks in secure or fully isolated, air-gapped environments

Experience designing Human-in-the-Loop (HITL) workflows and interfaces that allow for manual verification of autonomous agent actions in high-stakes environments

Experience with MLOps practices, including testing, evaluation, and deployment of AI and ML solutions in production environments

Knowledge of AI evaluation and benchmarking frameworks, including RAGAS or DeepEval to quantify model performance, mitigate hallucinations, and ensure output quality

Ability to work with open-source models and host them in fully isolated environments, ensuring security and compliance