AI Platform Lead: Scale, Govern, and Innovate AI

Hydro One Inc.

Toronto

Sur place

CAD 150 000 - 190 000

Plein temps

Il y a 25 heures

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Résumé du poste

Hydro One Inc. is seeking an AI Platform Lead to drive the strategy, architecture, governance, and operations of the enterprise AI platform.

You will partner with data, security, privacy, architecture, and delivery teams to accelerate responsible AI adoption while delivering measurable business value. The role focuses on building and evolving platform services for model deployment, prompt management, vector search, monitoring, and governance controls, with emphasis on security, compliance, and

Qualifications

Bachelor’s degree in CS/Engineering/Data Science or related field.
8+ years in enterprise technology, data, cloud, AI, or platform engineering.
3+ years of leadership managing technical teams or enterprise platforms.
Hands-on experience with enterprise AI, ML, and cloud platforms.
Strong experience with Azure AI Services, OpenAI technologies, machine learning platforms, or equivalent enterprise AI ecosystems.
Experience implementing platform governance, security, and operational controls.
Strong understanding of enterprise architecture, APIs, cloud services, and data platforms.
Excellent communication, stakeholder management, and leadership skills.

Responsabilités

Define and execute the enterprise AI platform strategy aligned with business objectives.
Develop and maintain a multi-year roadmap for AI platform capabilities, tooling, and services.
Evaluate emerging AI technologies and determine enterprise adoption opportunities.
Establish standards and reference architectures for AI, ML, Generative AI, and Agentic AI solutions.
Lead the design, development, deployment, and operation of enterprise AI platforms and services.
Establish reusable platform services for model deployment, prompt management, vector search, model routing, monitoring, and evaluation.
Ensure platform reliability, scalability, performance, and cost optimization.
Implement DevSecOps, MLOps, and AI Ops practices across the AI lifecycle.
Oversee production support, incident management, monitoring, and operational readiness processes.
Establish AI governance frameworks, controls, and review processes.
Ensure compliance with privacy, cybersecurity, data protection, and regulatory requirements.
Define and enforce responsible AI standards, guardrails, testing methodologies, and approval workflows.
Implement auditability, monitoring, logging, model performance tracking, and risk management capabilities.
Partner with Legal, Compliance, Risk, and Cyber Security teams to ensure enterprise readiness.
Enable business units to adopt AI through governed self-service capabilities.
Support development of AI assistants, copilots, predictive models, and intelligent automation solutions.
Drive adoption of approved enterprise AI tools and platforms.
Create reusable AI patterns, templates, accelerators, and best practices.
Promote innovation while balancing governance and operational risk.