AI and ML Software Engineer

Booz Allen Hamilton • Chantilly, VA

1d • $86,800 - $198,000

About The Position

Booz Allen is seeking a software engineer to build full-stack applications that integrate enterprise AI and machine-learning services, including large language models (LLMs), for HR and people operations users. The role involves designing and delivering secure, scalable applications that fit the current architecture and operating environment while supporting future functionality and enhancements. The engineer will integrate AI services and retrieval-augmented generation (RAG) with web technologies and SQL data stores to create reliable, intuitive user experiences. The role also involves collaborating with product, data, and security stakeholders to turn AI use cases into production-ready solutions that streamline workflows and provide insights.

The engineer will develop and maintain HR and training software applications and management solutions, along with data processing and retrieval pipelines that support AI features. The position calls for attention to data quality, consistency, security, role-based access, auditability, privacy, and the performance, cost, and reliability of AI-enabled features. Applicants must hold a TS/SCI clearance with polygraph and complete the required skills assessment to continue in the hiring process.

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, including AWS, Azure, GCP, or Oracle Cloud.
• Knowledge of AI systems architecture, AI platforms, or ML flow.
• TS/SCI clearance with polygraph.
• Bachelor’s degree.
• Security+, SSCP, CISSP, CCNA, or GSEC certification.
• Completion of the required skills assessment and achievement of the minimum proficiency threshold to continue in the hiring process.

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, and data tiers, with SQL database integration.
• Integrate enterprise AI platforms and architectures, including LLMs and RAG pipelines, into HR applications, such as natural-language 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.
• Maintain 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, and 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.

Benefits

• Health, life, and disability benefits.
• Financial and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level