Company Overview OpenText is a global leader in information management, combining innovation, creativity, and collaboration to shape the future of digital transformation. Job Title and Location Senior Manager, Applied AI and Services – Waterloo, ON Your Impact As technical lead, you will design and build OpenText’s agentic AI ecosystem, including end‑to‑end solutions, shared cloud and application services, and the Model and Data Science sub‑team focused on EvalOps. What The Role Offers Lead the hands‑on design and delivery of agentic AI solutions from problem framing to production rollout. Architect shared agentic AI services: orchestration, model services, evaluation, protocol integrations, and reusable components. Implement multi‑agent workflows with LangGraph and deploy model services in a cloud‑native environment. Establish evaluation as a platform capability, including eval harnesses, datasets, regression tracking, and EvalOps practices. Own the AI development lifecycle: model selection, prompt design, evaluation, latency and cost profiling, safety review, and rollout. Lead the Model and Data Science sub‑team on model awareness, evaluation design, engineering standards, and reference implementations. Drive integration with shared platform protocols (MCP, A2A) to ensure clean composition across the Aviator and platform stack. Partner with product, architecture, security, and platform teams to ship production‑ready capabilities that meet observability, security, scalability, and responsible‑AI bars. What You Need To Succeed An engineer’s mindset: build solutions in code before deck presentations. Deep AI‑lifecycle literacy across prompt design, agent and service architecture, tool integration, evaluation, observability, and post‑deployment iteration. Strong development discipline: code review standards, testing for non‑deterministic systems, prompt and eval versioning, reproducibility. Credibility to lead a Model and Data Science team, read model cards, design and interpret evaluations, and communicate trade‑offs to product, security, and executive stakeholders. What It Takes 6+ years of hands‑on software engineering, with 2+ years shipping production GenAI or agentic systems end‑to‑end. Track record of leading design and delivery of agentic AI solutions in an enterprise context. Experience as a hands‑on technical lead for small senior teams (engineers and/or data scientists). Required technical depth: Production‑grade Python and Java. LangGraph for agent and workflow orchestration. Prompt engineering and evaluation experience. Working literacy of MCP and A2A patterns. Cloud services architecture on GCP, AWS, or Azure. Model selection and trade‑offs across hosted and open‑weight families. Preferred: Google ADK. RAG pipelines, vector databases, embedding techniques. AI gateway patterns (e.g., LiteLLM), EvalOps tooling such as LangSmith, Langfuse, or Ragas. Containerized, cloud‑native deployment (Docker/Kubernetes). Data science or applied ML background sufficient to lead a Model and Data Science team. Equal Employment Opportunity OpenText’s commitment to diversity and inclusion surpasses legal requirements. We promote 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 physical, emotional, and financial wellbeing. Details about variable and commission compensation, vacation entitlement, and paid time off will be provided during 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