Principal Ai 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 are hiring talent AI can't replace to help us shape the future of information management. Join us.

OpenText's AI Development and Enablement organization designs and delivers AI solutions that power customer-facing products, agents, and intelligent workflows. We work across the product portfolio, bringing new ideas into applications and building the shared AI technology that helps teams innovate faster.

As a Principal AI Architect, you will turn advances in AI into applications and agents that solve enterprise problems. You will own architecture for defined solutions and platform components, working with product and engineering teams from early experimentation through production.

You will also design the AI lifecycle and platform primitives that help teams build, deploy, and operate these solutions at scale. This hands‑on role offers room to explore new approaches, build proofs of concept, and shape capabilities used across OpenText products. You will stay close to implementation, helping teams work through design choices and learning from how their solutions perform in production.

• Architecting AI solutions and agent workflows that connect enterprise information, applications, and tools.


• Designing how agents retrieve and assemble grounded context, use tools and memory, and coordinate work. Choosing among deterministic workflows, individual agents, and multi-agent patterns to meet the problem's needs with appropriate reliability and human oversight.


• Developing prototypes and reference implementations to validate architecture and guide teams into production.


• Designing lifecycle capabilities for evaluation, versioning, deployment, observability, and ongoing improvement, so changes to models, prompts, and agent behavior can be assessed and introduced confidently.


• Turning recurring solution needs into platform services and primitives, with clear APIs and reference implementations that make adoption practical for other application teams.


• Evaluating models and frameworks, making practical trade-offs across capability, reliability, latency, cost, and deployment requirements.


• Communicating designs through documents, diagrams, and demonstrations;
  leading design discussions and mentoring developers.

• 8+ years in software engineering or application architecture, including personally taking an AI capability from design through deployment and improvement. Enterprise application experience is highly desirable.


• Comfort developing in both Java and Python ecosystems, including APIs, services, and integrations. Evidence of personally building prototypes and contributing to working applications.


• Hands‑on depth in a relevant agent development framework, with working familiarity across LangChain/LangGraph, Google ADK, and similar approaches, and the judgment to choose among them.


• Understanding of evolving AI methodologies and agent patterns, including context engineering, harnesses, multi-agent orchestration and choreography, and tool integration through MCP and A2A.


• Current knowledge of commercial and open model capabilities, limitations, and economics, with experience evaluating choices against real application needs and measuring quality, latency, and cost.


• Practical experience evaluating agent outcomes and execution, diagnosing production failures, and validating changes. Understanding of agent and tool permissions, untrusted inputs, and enterprise data boundaries.


• Strong application and cloud architecture skills, including distributed services, security, multi-tenancy, and operating production systems at scale. Experience integrating AI with enterprise permissions, data, and business processes is particularly valuable.


• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

OpenText is more than just a corporation, it's a global community where trust is foundational, the bar is raised, and outcomes are owned.

Join us on our mission to drive positive change through privacy, technology, and collaboration. At OpenText, we don't just have a culture;
we have character. Choose us because you want to be part of a company that embraces innovation and empowers its employees to make a difference.

OpenText's commitment to diversity and inclusion surpasses legal requirements, evident in our Equal Employment Opportunity Statement of Policy which promotes a respectful and empowering environment for employees of all backgrounds, culture, national origin, race, color, gender, gender identification, sexual orientation, family status, age, veteran status, disability, religion, or other basis protected by applicable laws.

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please submit a ticket at Ask HR. Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace.

Compensation: At OpenText, we offer a thoughtfully designed benefits package that supports your physical, emotional, and financial wellbeing. As you move through the hiring process, we’re happy to provide more details about our compensation programs, including variable and commission compensation opportunities for eligible roles, vacation entitlement, and paid time off.

AI Usage Disclosure: As part of our commitment to transparency, we use artificial intelligence (AI) tools to assist in various stages of our recruitment process, including resume screening, candidate matching, interview scheduling, and communications. These tools are designed to improve efficiency, reduce bias, and enhance candidate experience. All decisions regarding hiring are made by qualified human professionals, and we continuously monitor our AI systems to ensure fairness and compliance with applicable regulations.