AI Engineer

AI Engineer

The Opportunity: 

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.

You Have:

• 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

Nice If You Have:  

• 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

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $128,700.00 to $292,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.