Principal Software Architect

OPENTEXT - THE INFORMATION COMPANY

OpenText is a global leader in information management, where innovation, creativity, and collaboration are the key components of our corporate culture. As a member of our team, you will have the opportunity to partner with the most highly regarded companies in the world, tackle complex issues, and contribute to projects that shape the future of digital transformation.

AI-First. Future-Driven. Human-Centered.

At OpenText, AI is at the heart of everything we do—powering innovation, transforming work, and empowering digital knowledge workers. We're hiring talent that AI can't replace to help us shape the future of information management. Join us.

Sets data and applied AI architecture direction for OpenText, working across product lines rather than within a single team. Defines how OpenText builds and governs data platforms (warehousing, lakehouses, graphs, vector stores) and the applied AI systems built on top of them. Acts as a technical authority that other architects and engineering teams consult on data and applied AI decisions.

What the role offers

1.Design and review data architectures (warehouses, lakehouses, data platforms, graph and vector stores) that support analytics and AI workloads, including data quality, lineage, and governance (e.g., using layered patterns such as medallion/bronze-silver-gold where applicable).

2.Evaluate and recommend data contract and product standards (e.g., ODCS, ODPS) for cross-product adoption.

3.Define reference architectures and patterns for applied AI systems (RAG, agentic AI, LLM integration) that other product teams can adopt, including governance considerations such as safety filtering, bias assessment, human-in-the-loop mechanisms, and audit evidence requirements for autonomous/agentic systems.

4.Advise on agentic AI architecture, including interoperability protocols such as MCP and A2A as well as emerging standards such as OpenID AuthZEN and OIDC-A.

5.Partner with product architects across OpenText to align data and AI architecture decisions with company-wide standards. 6.Represent data engineering and applied AI perspectives in architecture review boards and standards discussions. 7.Communicate architectural trade-offs to executive and non-technical stakeholders, influencing direction across product lines without formal authority.

8.Mentor other architects informally on data engineering and applied AI practices, without formal people-management responsibility.

1.10+ years in software architecture, data engineering, or AI/ML systems, or equivalent demonstrated depth.

2.Bachelor's degree in Computer Science or equivalent professional experience.

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