Technology Director — AI Automation and Application Development

CGI•Orange Park, FL

12h•Hybrid

About The Position

CGI Federal seeks an experienced Technology Director to lead AI-driven automation, AI application development, and modernization of enterprise software. The role combines technical leadership with hands-on expertise in full-stack development, software development lifecycle (SDLC) management, and software quality assurance. The Technology Director guides engineering teams in delivering secure, reliable, and maintainable applications that improve operational performance and support federal customer missions. The position is located in CGI Federal’s Orange Park, Florida office, with a hybrid working model acceptable. The role defines and executes technology roadmaps, leads AI application development and legacy modernization, provides architectural direction, manages the full SDLC, and establishes engineering and quality assurance practices. It also oversees technical priorities, staffing, schedules, delivery risks, and team development, while engaging with customers and executive leadership. Collaboration with enterprise application teams on SAP integration and modernization may be required where applicable.

Requirements

Bachelor's degree in engineering from an accredited institution.
At least 15 years of relevant professional experience in software engineering, application development, systems integration, or technology delivery, including progressive technical leadership responsibilities.
Demonstrated experience delivering AI-driven automation and AI applications in enterprise environments.
Strong traditional full-stack development skills, including experience supporting and modernizing legacy systems.
Demonstrated experience managing the complete SDLC and leading multidisciplinary development teams.
Substantial software quality assurance experience, including test strategy, test automation, defect management, and root cause analysis.
Experience with application architecture, APIs, relational databases, enterprise integration, and cloud or hybrid environments.
Experience implementing Agile delivery practices, DevSecOps, and CI/CD.
Ability to evaluate technical tradeoffs and connect technology investments to measurable business and mission outcomes.
Strong leadership, customer engagement, and written and verbal communication skills.

Nice To Haves

SAP knowledge, including familiarity with enterprise processes, integration interfaces, or SAP application modernization.
Experience supporting federal customers and navigating federal security and compliance requirements.
Experience with retrieval augmented generation, model orchestration, AI agents, and AI production monitoring.
Experience applying AI tools to software development, testing, and quality assurance.
Advanced degree in engineering or a related technical discipline.

Responsibilities

Define and execute a technology roadmap for AI-driven automation, intelligent applications, and legacy system modernization.
Identify business process automation opportunities and translate them into measurable improvements in productivity, accuracy, and service delivery.
Lead the design, development, integration, and deployment of AI applications, including generative AI, AI agents, and workflow automation.
Establish practices for evaluating AI accuracy, reliability, security, human oversight, and production performance.
Provide architectural direction and hands-on technical guidance across front-end applications, back-end services, APIs, databases, and enterprise integrations.
Maintain and modernize legacy applications while supporting continuity of operations.
Manage the SDLC from requirements and design through development, testing, release, maintenance, and retirement.
Establish engineering standards for code reviews, source control, CI/CD, documentation, and release readiness.
Lead software quality assurance practices, including automated testing, regression testing, performance testing, defect analysis, and defect prevention.
Track delivery and quality metrics, address recurring defects, and drive continuous improvement.
Integrate security, privacy, accessibility, and applicable federal and contractual requirements into development and delivery.
Manage technical priorities, staffing, schedules, and delivery risks, and communicate with customers and executive leadership.
Recruit, mentor, and develop software engineers, AI developers, and quality assurance professionals.
Collaborate with enterprise application teams on SAP integration and modernization where applicable.