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're hiring talent that AI can't replace to help us shape the future of information management. Join us.
YOUR IMPACT
We are seeking an accomplishedPrincipal AI Engineer to lead thearchitecture, framework development, and production deployment of next-generationGenAI systems within enterprise-scale environments.
This role demands deep expertise inLLM orchestration, multi-agent systems, and Retrieval-Augmented Generation (RAG) and Agentic workflows. You will architectreusable AI frameworks, defineenterprise-grade standards, and guide engineering teams in delivering scalable, secure, and contextually intelligent AI solutions that power critical business functions globally.
What The Role Offers
- Lead thenext generation of enterprise AI engineering, defining frameworks used across global business domains.
- Collaborate with cross-functional teams pushing the frontier ofAgentic AI, RAG, and MCP-based orchestration.
- Shape thestrategic GenAI foundation for enterprise-scale applications.
- Be part of a world-class team committed toresponsible, secure, and scalable AI innovation.
AI Systems Architecture& Framework Development
- Architect and evolveenterprise AI frameworks enabling business teams to rapidly build domain-specific GenAI applications.
- Lead the design ofmulti-agent ecosystems leveraging protocols likeA2A communication andMCP-based modular orchestration for scalable task decomposition and coordination.
- Define and implementproduction-grade AI infrastructure blueprints across cloud and hybrid environments for reliability, observability, and compliance.
- Build and optimizeRAG pipelines integrating advanced context retrieval, adaptive prompting, and hybrid retrieval mechanisms.
Engineering& Deployment Excellence
- Championend-to-end AI system lifecycle, from experimentation to full-scale production, using robust LLMOps practices.
- Design and overseecontainerized AI microservices using Docker, Kubernetes, and Helm optimized for cost, latency, and throughput.
- DriveCI/CD automation pipelines (GitLab, ArgoCD, Jenkins) with integrated testing, drift detection, and continuous model validation.
- EstablishAI observability standards using OpenTelemetry, Prometheus, and Grafana for monitoring reliability and quality of agentic workflows.
LLM Orchestration& GenAI Innovation
- Developagentic frameworks (LangGraph, Crew AI, ADK) enabling reusable, configurable AI workflows across enterprise products.
- Lead initiatives aroundcustom toolchains, knowledge-grounded inference, andLLM-powered business process automation.
- Guide experimentation withopen-source and proprietary LLMs, includingfine-tuning, PEFT/LoRA, andprompt optimization for specialized use cases.
- Implementsemantic caching, dynamic memory, and reasoning-driven orchestration to improve responsiveness and reliability of GenAI systems.
Strategic Leadership& Enablement
- DefineAI architectural standards, reference implementations, and governance frameworks to ensure reusability and compliance.
- Mentor AI engineering teams to build scalable and interpretable GenAI systems aligned with business priorities.
- Collaborate with Product, Data, and Platform leaders tooperationalize AI at scale across multiple business domains.
- Evaluate and integrate emerging technologies inmulti-agent coordination, MCP, LLM distillation, and retrieval intelligence into enterprise frameworks.
What You Need To Succeed
- Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Engineering, or related field
- Experience: 10–12 years of experience in AI/ML system engineering with a proven record ofproduction-grade AI deployments at scale.
- Advanced hands-on experience withLangChain, LangGraph, CrewAI, or similaragentic/LLM frameworks.
- Expert-level understanding ofRAG pipelines,LLM orchestration, andmulti-agent architectures.
- Deep understanding ofcomponent abstraction, plugin design, andinternal platform development.
- Proficiency inPython,FastAPI, andRESTful microservice design for AI systems.
- Deep hands-on expertise withvector databases (pgvector, Milvus, Weaviate, Pinecone) andsemantic search systems.
- Proven track record withDocker,Kubernetes,Helm, andCI/CD automation (GitLab, ArgoCD, Jenkins).
- Extensive experience inAI observability,telemetry (OpenTelemetry), andmodel reliability engineering.
- Strong knowledge ofdata governance, privacy, and secure AI deployment within enterprise boundaries.
- Experience inAgent-to-Agent (A2A) architectures andMCP (Model Context Protocols)frameworks.
- Demonstrated ability todesign AI platform SDKs/frameworks empowering non-technical users and developers.
- Hands-on experience inmodel optimization,inference acceleration, andLLM runtime tuning for cost and latency efficiency.
- Familiarity withAI cost management, tracing, and dynamic routing strategies in large deployments.
- Experience integratingLLMs with enterprise knowledge graphs, ERP, or ITSM systems for context-rich reasoning.
- Exposure tocloud-native AI platforms (AWS Sagemaker, Azure OpenAI, GCP Vertex AI).
- Practical experience withAI security, guardrails, red-teaming, and ethical AI principles.
- Strategic thinker with the ability to define and evangelize AI architecture vision across the enterprise.
- Exceptional communication skills to bridge technical and business teams.
- Proactive, results-oriented leader capable of driving innovation from concept to production.
- Passionate aboutagentic AI,retrieval intelligence, andself-optimizing AI systems that evolve with usage.
OpenText's efforts to build an inclusive work environment go beyond simply complying with applicable laws. Our Employment Equity and Diversity Policy provides direction on maintaining a working environment that is inclusive of everyone, regardless of 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 contact us athr@opentext.com. Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace.
