OpenText is looking to define and advance its AI vision, strategy, and foundational platform architecture to ensure scalable, secure, and consistent GenAI capabilities across the enterprise, driving innovation and transforming work.
Requirements
- 12+ years of experience in engineering, AI solutions, or platform product leadership, including 5+ years in AI/ML or GenAI.
- Proven success leading engineering or AI platform teams delivering frameworks, orchestration systems, or enterprise AI solutions.
- Strong solution architecture background, with experience designing and evaluating complex AI platform integrations.
- Hands-on familiarity with agentic frameworks and modern orchestration tools such as LangGraph, LangChain, CrewAI, ADK, or similar ecosystems.
- Understanding of LLMs, agentic architectures, orchestration runtimes, and model integration techniques.
- Deep technical curiosity and awareness of industry trends, open standards, and agentic interoperability.
- Experience collaborating with cloud and model providers (AWS, Azure, Google Vertex, Anthropic, OpenAI, etc.).
Responsibilities
- Defining and driving the vision and technical direction for enterprise-scale AI foundations and platforms in partnership with executive stakeholders.
- Leading engineering and solution architecture initiatives for shared AI frameworks, orchestration runtimes, and developer enablement platforms.
- Designing and guiding AI solution architectures that balance innovation, scalability, and security.
- Translating emerging AI trends and technologies (A2A, MCP, LangGraph, CrewAI) into actionable engineering and product strategies.
- Staying connected to the AI ecosystem, identifying opportunities from industry trends, research, and vendor developments.
- Building relationships with AI partners and platform providers to infuse external innovation into internal strategy.
- Driving incubation and innovation, converting exploratory work into reusable, production-grade capabilities.
Other
- Serve as a senior technical and strategic leader reporting to the VP of AI Engineering and Enablement.
- Represent the AI Platform organization in executive forums, guiding strategy and communicating outcomes.
- Fostering a culture of technical excellence, curiosity, and continuous innovation.
- Communicating complex strategies clearly to executives and cross-functional teams.
- Fostering a culture of curiosity, learning, and hands-on technical depth across engineering teams.
