Principal AI Developer

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 that AI can’t replace to help us shape the future of information management. Join us.

Your Impact

The OpenText Cloud Services organization is seeking a Principal Artificial Intelligence Engineer to join the Cloud Platforms & AI Operations team and serve as a technical authority and lead software developer for agentic AI systems and AI/ML Ops. You will help shape and implement agent-based AI architecture, design and development, take ownership of enterprise‑scale agentic AI systems, influence AI technology direction, and operate at the forefront of applied AI and semi‑autonomous systems.

This role is responsible for designing and developing a targeted, expanding fleet of interoperable, capable and performant AI agents against a well‑defined roadmap that will transform IT Operations and IT Service Management speed, scale and efficiency for OpenText and customers, and for designing, deploying, managing, and supporting modern, scalable and secure AI/ML Ops infrastructure and workflows across public cloud environments. You will help enable and achieve our vision to be the best Information Management company in the world—where information and AI elevate every individual and organization to be their best.

What The Role Offers

• AI Agent Research: Evaluate emerging agent frameworks, model capabilities, software patterns, and research trends to guide strategic adoption.
• AI Agent Architecture: Define reference agent architectures, design patterns, and best practices covering LLM selection, reasoning, planning, prompting, state, memory, tool orchestration, identity, access, security, observability, evaluation, and autonomy.
• AI Agent Design: Translate business processes, rules, constraints, roles, performance thresholds, facts, and artifacts into agent requirements, patterns, and flows.
• AI Agent Development: Design and implement complex AI agents (primarily Python) integrated with enterprise systems, APIs, and data platforms.
• AI Agent Testing & Evaluation: Perform functional and safety testing, regression testing, agent response evaluation, human-in-the-loop feedback, and automated quality metrics.
• AI Agent Deployment & Governance: Automate deployment, monitoring, and governance of AI agents in scalable cloud production environments.
• AI Agent Troubleshooting: Rapidly diagnose and resolve issues related to agent performance, behavior, results, safety, and security.

What You Need To Succeed

• Experience: 2+ years in AI agent design and development (end-to-end agentic systems) and 5+ years in Software Engineering, DevOps, SRE, or Cloud Engineering.
• Education: Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or similar required; Master’s in AI or related field highly desirable.
• Agent Expertise: Strong experience with AI agent frameworks (Google Agent Development Kit or similar) and agent design, development, and deployment (ITSM use cases desirable).
• Programming & Data: Strong skills in Python, Bash, YAML, JSON; proficient in SQL and REST API–based data extraction.
• The role requires 5 days in the office.
• CI/CD & Automation: Proficient with CI/CD tools (GitLab CI/CD, Flux, Argo Workflows) and infrastructure automation (Terraform, Helm, Ansible).
• Cloud & Runtime: Proficient with AWS, GCP, or Azure; container orchestration (EKS/GKE/AKS, Anthos/Google Distributed Cloud) and model serving (VLLM, TorchServe).
• Ecosystem & Governance: Proficient with MCP Server Protocol (MCP) and MCP Server development; exposure to graph databases, monitoring/logging (Prometheus, Grafana, ELK, CloudWatch), data/model versioning, experiment tracking, and AI/ML security, compliance, and governance.

ONE LAST THING

This is a global role supporting clients/employees in North America and Europe and requires fluency in French & English.

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