Your ImpactThe 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.
- 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.
ONE LAST THING This is a global role supporting clients/employees in North America and Europe and requires fluency in French & English.
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.
Salary Range: Depending on the candidate's education, experience, skills, geographical location, and alignment with internal equity and external market, actual salary may vary and be higher or lower than the range posted.
Il s'agit d'un poste international qui consiste à assister les clients/employés en Amérique du Nord et en Europe et qui nécessite une maîtrise parfaite du français et de l'anglais.
Rémunération: Chez OpenText, nous offrons un ensemble d'avantages sociaux soigneusement conçu pour favoriser votre bien-être physique, émotionnel et financier. Au fur et à mesure que vous avancez dans le processus de recrutement, nous serons heureux de vous fournir plus de détails sur nos programmes de rémunération, y compris les possibilités de rémunération variable et à la commission pour les postes éligibles, les droits à congés et les congés payés.
Fourchette salariale: $x - $x; en fonction de la formation, de l'expérience, des compétences, de la situation géographique du candidat et de l'alignement avec l'équité interne et le marché externe, le salaire réel peut varier et être supérieur ou inférieur à la fourchette indiquée.
