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Lead AI Software Engineer

Guidehouse
United Statesfull_timeVerifiedPosted 26 Jun 2026
💰 $188,000/yr($113,000/yr$188,000/yr)

About the role

Job Family:

Software Development & Support


Travel Required:

None


Clearance Required:

Ability to Obtain Public Trust

What You Will Do
Guidehouse Technology is seeking a highly experienced, driven Lead AI Software Engineer to join our growing team supporting federal clients. This role is ideal for a senior technologist who is passionate about building scalable, secure, and user-centric AI-enabled solutions to address complex government mission challenges.

You will lead the design, development, and deployment of full-stack web applications on AWS, integrating workflow orchestration, relational data systems, advanced analytics, and intuitive, accessible user interfaces. Working with cross-functional teams—including software engineers, data scientists, product managers, and mission stakeholders—you will deliver high-impact solutions that combine modern engineering practices with Artificial Intelligence capabilities. 

This role emphasizes hands-on leadership, strong engineering fundamentals, and modern software development practices—including the use of Generative AI–assisted coding tools to accelerate development, improve quality, and enhance delivery velocity.

Key Responsibilities

  • Lead the architecture, design, and implementation of AI-enabled full-stack web applications deployed on AWS.

  • Develop and maintain end-to-end solutions spanning frontend (ReactJS), backend services (Java/Python), APIs, workflow orchestration, and relational database layers.

  • Design and implement accessible, user-friendly web interfaces, ensuring compliance with Section 508 and usability standards.

  • Architect and manage RDBMS-based data models (e.g., PostgreSQL, MySQL, Aurora) supporting transactional and analytical use cases.

  • Build and integrate workflow and process automation capabilities to support business and mission operations.

  • Develop data visualization and analytics features to enable decision-making through dashboards, charts, and interactive UI components.

  • Lead implementation of AI-enabled features such as intelligent search, chatbots, document processing, or agent-driven workflows.

  • Utilize Generative AI–assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, debugging, testing, refactoring, and documentation while ensuring code quality and security.

  • Operate within a SAFe (Scaled Agile Framework) environment, contributing to agile release trains, sprint planning, backlog refinement, and cross-team coordination.

  • Implement and enforce DevSecOps practices, leveraging application security tools (e.g., SAST, DAST, SCA) to identify, analyze, and remediate software vulnerabilities throughout the development lifecycle.

  • Design and maintain CI/CD pipelines with integrated security scanning, automated testing, and compliance checks.

  • Mentor engineering teams, conduct code reviews, and establish best practices in software design, security, and cloud-native development.

  • Collaborate with cross-functional teams to prototype, iterate, and deliver scalable and secure solutions aligned to mission requirements. 

What You Will Need

  • Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field, or Additional FOUR (4) years equivalent experience in Lieu of degree.

  • Minimum SIX (6) years of professional experience in software engineering, including experience in a senior or lead role.

  • Expert-level proficiency in Java or Python for backend development.

  • Strong hands-on experience with ReactJS for modern frontend application development.

  • Demonstrated experience building and deploying full-stack web applications in AWS cloud environments.

  • Experience implementing solutions involving workflow orchestration, relational databases (RDBMS), and data visualization.

  • Experience designing and developing

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Company

Guidehouse

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