Manager, AI Engineering

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 a highly skilledManager to lead and orchestrate complex, multi-disciplinaryAI and Generative AI programs within the enterprise AI engineering organization.

This role demands a deep understanding ofAI-driven product development lifecycles,multi-agent orchestration, andLLM-based system engineering to effectively plan, govern, and deliver cutting-edge AI capabilities.

The ideal candidate combinesprogram management excellence,technical fluency in AI systems, and the ability totranslate strategic AI goals into structured execution across engineering, data science, platform, and business enablement teams.

What The Role Offers

Program Leadership& Governance

• Own theend-to-end delivery lifecycle for enterprise AI programs includingRAG systems, multi-agent workflows, and MCP/A2A-based architectures and other latest cutting edge technologies.
• Define program goals, KPIs, milestones, and delivery timelines in alignment withAI strategy and enterprise roadmap.
• Driveprogram governance, risk management, and dependency tracking across multiple parallel AI initiatives.
• Ensure consistent alignment between engineering execution and business value realization.

Cross-Functional Delivery Management

• Collaborate withPrincipal AI Engineers, Solution Architects, and Product Owners to translate complex AI designs into executable workstreams.
• Manage cross-functional teams involvingAI Engineers, ML Ops, Data Engineers, and Platform Teams for synchronized delivery.
• Facilitate sprint planning, backlog refinement, and release management across distributed AI development squads.
• Coordinatemodel deployment readiness,inference optimization, andguardrail validation phases prior to production rollout.

AI Program Execution Excellence

• ImplementAI-centric delivery frameworks integrating experimentation, validation, and continuous improvement cycles.
• Ensure operational excellence inGenAI system reliability, observability, and performance tracking through data-driven dashboards.
• Lead the adoption ofmodular delivery frameworks to support iterative releases of AI components.
• Work closely with AI Engineering leadership to optimizeresource allocation,infrastructure utilization, andcost efficiency.

Stakeholder Communication& Reporting

• Serve as thesingle point of accountability for all program-level communications and escalations.
• Present delivery status, risk mitigations, and success metrics to executive leadership.
• Establish transparent communication channels acrossengineering, product management, data governance, and compliance.
• Translate technical achievements intobusiness outcomes, highlighting measurable ROI of AI programs.

AI Delivery Process Innovation

• Champion the adoption ofAI-specific program management tools (e.g., LangSmith dashboards, LLMOps pipelines, model evaluation trackers).
• Driveprocess automation in delivery tracking, documentation, and validation through intelligent agents.
• Definebest practices for managing LLM lifecycles, versioning, and evaluation cycles in enterprise environments.
• Collaborate with AI leadership tostandardize frameworks, templates, and operational playbooks for repeatable GenAI success.
• Lead theAI transformation delivery layer, driving execution excellence across all enterprise AI programs.
• Collaborate with world-class AI engineers building thenext generation of agentic and RAG-based systems.
• Shape how enterprise-scaleGenAI initiatives are planned, tracked, and delivered for measurable impact.
• Work at the forefront ofAI program management, setting new standards fordelivery velocity, governance, and innovation.

What You Need To Succeed

• Education: Bachelor's or Master's in Computer Science, AI/ML, Information Systems, or Project Management. PMP, PMI-ACP, or equivalent certification preferred.
• Experience: 10–15 years of experience managing complex technology programs, with3–5 years in AI/ML or GenAI environments.
• Proven experience in managingAI or data-intensive programs involving model development, RAG pipelines, and LLM-based architectures.
• Strong understanding ofAI engineering principles,multi-agent frameworks (LangGraph, Crew AI, ADK), andLLMOps lifecycles.
• Proficiency inAgile/Scrum andScaled Agile methodologies tailored to AI system development.
• Experience leading teams working onGenAI, RAG, or LLM-based solutions in enterprise contexts.
• Ability to managecross-functional dependencies, budget, and timeline for multi-component AI initiatives.
• Working knowledge ofCI/CD pipelines, Kubernetes deployments, andAI observability metrics.
• Strong command overrisk management, change control, and compliance frameworks in AI system deployments.
• Hands-on familiarity withAI platforms and model governance tools (LangSmith, MLflow, Weights& Biases, Kubeflow).
• Understanding ofAI cost and usage analytics,telemetry (OTEL), andAI guardrail integration for compliance.
• Proven success in implementingAI program dashboards tracking success metrics (latency, accuracy, throughput, cost).
• Experience managinghybrid cloud or on-prem AI infrastructure (AWS, Azure, GCP).
• Strong background inAI ethics, data privacy, and responsible AI delivery practices.
• Visionary leader who canbridge technical and business priorities in AI delivery.
• Excellent communicator with the ability toinfluence, align, and motivate highly technical teams.
• Analytical mindset with astructured problem-solving approach to manage uncertainty in evolving AI landscapes.
• Strong interpersonal and organizational skills to drive high-impact outcomes in fast-paced environments.
• Passionate abouttransforming enterprise operations through AI and intelligent automation.

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 Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace.