Lead AI Software Engineer
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
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Lead the architecture, design, and implementation of AI-enabled full-stack web applications deployed on AWS.
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Develop and maintain end-to-end solutions spanning frontend (ReactJS), backend services (Java/Python), APIs, workflow orchestration, and relational database layers .
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Design and implement accessible, user-friendly web interfaces , ensuring compliance with Section 508 and usability standards.
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Architect and manage RDBMS-based data models (e.g., PostgreSQL, MySQL, Aurora) supporting transactional and analytical use cases.
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Build and integrate workflow and process automation capabilities to support business and mission operations.
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Develop data visualization and analytics features to enable decision-making through dashboards, charts, and interactive UI components.
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Lead implementation of AI-enabled features such as intelligent search, chatbots, document processing, or agent-driven workflows.
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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.
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Operate within a SAFe (Scaled Agile Framework) environment, contributing to agile release trains, sprint planning, backlog refinement, and cross-team coordination.
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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.
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Design and maintain CI/CD pipelines with integrated security scanning, automated testing, and compliance checks.
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Mentor engineering teams, conduct code reviews, and establish best practices in software design, security, and cloud-native development.
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Collaborate with cross-functional teams to prototype, iterate, and deliver scalable and secure solutions aligned to mission requirements.
What You Will Need
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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.
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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.
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Minimum SIX (6) years of professional experience in software engineering, including experience in a senior or lead role.
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Expert-level proficiency in Java or Python for backend development.
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Strong hands-on experience with ReactJS for modern frontend application development.
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Demonstrated experience building and deploying full-stack web applications in AWS cloud environments.
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Experience implementing solutions involvin