AI and ML Software Engineer

Booz Allen Hamilton•Chantilly, VA

4h•$86,800 - $198,000•Onsite

About The Position

Booz Allen is seeking a software engineer to create full-stack applications that integrate enterprise AI/ML services, including large language models, for HR and people operations users. The role designs and delivers secure, scalable applications while considering the current architecture and operating environment as well as future functionality. It integrates enterprise AI services and retrieval-augmented generation with web stacks and SQL data stores to provide reliable user experiences, working across product, data, and security teams to turn AI use cases into production solutions. The engineer develops HR and training software applications and management solutions, builds data and retrieval pipelines, and applies data-quality, security, privacy, and access controls. AI-enabled use cases include natural-language search across policies and knowledge bases, document summarization, and contextual insights in user workflows. The position is located in Chantilly, Virginia, and is listed as not remote. Applicants must hold TS/SCI clearance with a polygraph and complete a required skills assessment. Booz Allen describes benefits that include health, life, disability, financial and retirement benefits, paid leave, professional development, tuition assistance, work-life programs, dependent care, and recognition awards. The projected annualized compensation range is $86,800 to $198,000.

Requirements

At least 3 years of experience building production web applications and services using C# and .NET.
At least 2 years of experience with jQuery, SQL, or XML.
At least 2 years of experience with JavaScript and a JavaScript framework such as React, Angular, or Vue.
Experience with the Software Development Life Cycle (SDLC) and Agile methodologies.
Experience with cloud environments such as AWS, Azure, GCP, or Oracle Cloud.
Knowledge of AI systems architecture, AI platforms, or ML flow.
TS/SCI clearance with a polygraph.
Bachelor’s degree.
One of the following certifications: Security+, SSCP, CISSP, CCNA, or GSEC.
Completion of the required skills assessment and meeting the minimum proficiency threshold.

Nice To Haves

Experience with HR systems such as Workday or knowledge-management platforms such as SharePoint or Confluence.
Experience administering CI/CD pipelines using Kubernetes, Docker, or Jenkins.
Experience with LimeSurvey, Tableau, SharePoint, ServiceNow, and Learning Management Systems.
Knowledge of security and privacy controls, including RBAC, data minimization, encryption, and safe-use policies for AI.
Master’s degree.
ML, AI, or Solution Architecture certification.

Responsibilities

Design, develop, and maintain full-stack applications, including front ends, APIs, services, data tiers, and integrations with SQL databases.
Integrate enterprise AI platforms and architectures, including LLMs and RAG pipelines, into HR applications for policy and knowledge-base search, document summarization, and contextual insights.
Design, develop, implement, and maintain HR and training software applications and management solutions in an operational environment at the corporate and below level.
Build retrieval and data-processing pipelines using internal and approved external data, and perform ETL from source systems into the SQL data layer.
Ensure data quality, consistency, and security across systems, applying role-based access, auditability, and privacy-aware design.
Implement retrieval-based solutions using internal documents, APIs, and databases; optimize prompts, flows, embeddings, and vector search for performance and accuracy.
Collaborate with product owners and stakeholders to identify valuable AI use cases and tune AI-enabled features for performance, cost, and reliability.