Principal Artificial Intelligence Engineer – Cloud Platforms & AI Operations OpenText is a global leader in information management. As part of the OpenText Cloud Services organization, the Principal Artificial Intelligence Engineer will serve as a technical authority and lead software developer for agentic AI systems and AI/ML Ops. Responsibilities 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. The 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. It also involves designing, deploying, managing, and supporting modern, scalable, and secure AI/ML Ops infrastructure and workflows across public cloud environments. 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. AI Data & ML Models: Acquire data via SQL and REST APIs (including MCP Server), and use, enhance, or develop ML models to solve business problems. 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. AI/ML Platforms: Proficient with Vertex AI, SageMaker, Azure ML, and developing or integrating ML models. 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. Global Role & Language Requirements This is a global role supporting clients/employees in North America and Europe and requires fluency in French & English. Equal Employment Opportunity Statement 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. Compensation We offer a thoughtfully designed benefits package that supports your physical, emotional, and financial wellbeing. Details regarding compensation, including variable and commission opportunities, vacation entitlement, and paid time off, will be provided as you move through the hiring process. 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. #J-18808-Ljbffr