Sr. Director, AI Development
Role Overview
The Senior Director of AI Development reports to a VP and leads the people and engineering programs that deliver AI solutions.
The role partners with product and architecture leaders on AI applications, cloud and platform programs, and enterprise capabilities.
Key Skills for This Role
Full Job Posting
About OpenText
OpenText describes itself as a global information management company focused on digital transformation.
Its AI Development and Enablement organization builds AI solutions for customer-facing products, agents, intelligent workflows, and shared AI technology.
The Opportunity
The Senior Director of AI Development reports to a VP and leads the people and engineering programs that deliver AI solutions.
The role partners with product and architecture leaders on AI applications, cloud and platform programs, and enterprise capabilities.
Responsibilities
- Lead engineering execution across teams, with accountability for milestones, quality, reliability, customer outcomes, and early risk management.
- Hire and develop engineering managers and technical leaders.
- Shape roadmaps, manage capacity and dependencies, and make priority and investment decisions.
- Lead AI solutions, cloud services, platforms, tools, and shared primitives for enterprise applications.
- Guide incubation from experiments and customer validation through decisions and supported capabilities.
- Set shared-service adoption practices, including documentation, release readiness, support ownership, and consumer feedback.
- Guide technical discussion and AI experimentation, build business partnerships, and report progress to executives.
What It Takes
- 12 or more years in software engineering or related disciplines, delivering complex products and programs through managers and technical leaders.
- Proven people leadership, including developing managers, building technical capability, and improving execution.
- Enterprise software experience leading platform or cloud programs is highly desirable.
- Experience guiding an applied AI initiative from experimentation and technical decisions into delivery or adoption.
- Current understanding of applied AI, agent patterns, model choices, context, orchestration, evaluation, and development challenges.
- Hands-on AI exploration, experimentation, or development, with ability to discuss learnings and their leadership implications.
- Sound judgment on AI quality, reliability, security, cost, and operational readiness.
- Strong product partnership, cross-business collaboration, and executive communication skills.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
Compensation
- The employer says it can provide details about compensation programs during hiring; no salary cadence or amount is stated.
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