Director, AI Engineering

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring, and impactful. When you join Sun Life, you'll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions, so you can make a meaningful difference in our Clients' lives. Discover how you can make a difference in the lives of individuals, families and communities around the world. Job Description: The Director of AI Engineering, Corporate IT leads the engineering of artificial intelligence for internal enterprise delivery, from strategy and architecture through production delivery. This role builds secure, scalable and responsible AI capabilities that modernize enterprise systems, automate IT operations and improve employee productivity. What will you do? AI Strategy & Roadmap Own the Corporate IT AI strategy and roadmap, aligned with CIO and enterprise priorities. Lead intake, value assessment and prioritization of AI use cases across functions such as Actuarial, Risk, Compliance, Human Resources, Finance, Legal, Procurement etc. Manage AI licensing, vendor contracts and cloud spend within the IT budget. Rationalize AI tools, reduce duplication and address unapproved or shadow AI use. Assess emerging capabilities, including copilots, agents and SaaS AI features, for enterprise fit. Enterprise AI Patterns, Architecture & Integration Define AI patterns and align them with Enterprise Architecture standards. Guide integration of AI with collaboration platforms and enterprise data services. Govern build-versus-buy decisions across packaged AI, SaaS capabilities and custom solutions. Align AI solutions with identity and access management, single sign-on, API gateways and enterprise data platforms. Act as the AI design authority in relevant architecture review forums. AI Platform, AIOps & Automation Build and operate enterprise AI platform capabilities, including LLM gateways, retrieval-augmented generation, vector stores, prompt management and evaluation. Deliver AIOps capabilities such as event correlation, anomaly detection and automated remediation. Apply AI to IT service management, including ticket triage, routing, virtual agents and knowledge search. Implement MLOps and LLMOps pipelines integrated with IT change and release management. Monitor model quality, drift, hallucination risk, service performance and inference cost. Security, Risk & Responsible AI Embed information security, data classification and data loss prevention requirements across AI services. Protect AI solutions against data leakage, prompt injection and model abuse. Partner with Risk, Legal, Compliance and Privacy to establish and operate AI controls. Support privacy, SOX, model-risk and audit requirements for AI-enabled corporate processes. Maintain an accurate inventory of AI solutions and an approved-tools catalogue. People, Talent & Adoption Lead AI engineering, platform and automation teams and establish clear accountabilities. Design roles, career paths and team structures that build sustainable AI capability within Corporate IT. Mentor IT employees in AI engineering and secure, responsible AI practices. Drive employee AI adoption and literacy in partnership with corporate function owners. Manage strategic partners and managed service providers and hold them accountable for outcomes. IT Service Delivery & Operations Deliver AI initiatives th…

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