Description:
The OpenText Cloud Services organization is seeking a Principal Artificial Intelligence Developer to join the Cloud Platforms & AI Operations team and serve as a technical authority and lead software or agentic AI systems and AI/ML Ops.
You will help shape and implement agent-based AI architecture, design and developing, 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 clients, 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 Developing: 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 developing (end-to-end agentic systems) and 5+ years in Software Developing, DevOps, SRE, or Cloud developing.
- Education: Bachelor’s degree in Computer Science, Software Developing, Information Systems, or similar required; Master’s in AI or related field highly desirable.
- Agent Expertise: Strong experience with AI agent frameworks (Google Agent Developing Kit or similar) and agent design, Developing, 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 Developing exposure to graph databases, monitoring/logging (Prometheus, Grafana, ELK, CloudWatch), data/model versioning, experiment tracking, and AI/ML security, compliance, and governance.