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Sun Life

Global financial services for insurance, investments

Director – AI Engineering

Applied Machine LearningConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Demonstrated hands-on experience building and delivering artificial intelligence or machine learning solutions into production, supported by a strong foundation in software engineering, data engineering, or machine learning.
  • Experience designing AI engineering patterns and guiding engineering teams through technical implementation while remaining actively involved in solution development.
  • Proficiency with Python and experience with data integration, data pipelines, or extract, transform, and load processes.
  • Experience with cloud AI services and application programming interfaces on Amazon Web Services, Microsoft Azure, or both.
  • Practical knowledge of generative AI, large language models, retrieval-augmented generation, model evaluation, and production monitoring.
  • Experience navigating information security, data protection, responsible AI, and technology-governance requirements in a complex enterprise environment.
  • Ability to explain complex technical recommendations to engineering teams, senior leaders, and business stakeholders, mentor colleagues, and build alignment across teams.
  • Experience working in a regulated or highly governed enterprise environment.
  • Degree or advanced education in computer science, software engineering, data science, machine learning, or a related discipline, or equivalent work experience.

Responsibilities

  • 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, and Procurement.
  • 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.
  • 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.
  • Build and operate enterprise AI platform capabilities, including large language model 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.
  • 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.
  • 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.
  • Deliver AI initiatives through established portfolio, change, release, and governance processes.
  • Own service-level expectations, support models, runbooks, and operational readiness for AI services.
  • Partner with corporate function owners to define outcomes and realize measurable value.
  • Report value, risk, delivery, and spend to the CIO and IT leadership.
  • Lead change management and communications for AI rollouts.

Desired Qualifications

  • Amazon Web Services, Microsoft Azure, or AI-related training or certification.

About the Company

Sun Life

Global financial services for insurance, investments

Sun Life provides a wide range of financial services worldwide, mainly through life and health insurance, financial planning, and investment solutions for individuals, businesses, and institutions. Its products work by collecting premiums for insurance coverage, fees for planning services, and returns on investments; these funds are used to pay claims, support financial planning advice, and generate investment gains. What sets Sun Life apart is its global presence across Canada, the United States, Asia, and Europe, plus a comprehensive product lineup and a focus on helping clients achieve financial security and healthier lives, rather than relying on a single product. The company aims to grow and manage wealth for clients while pursuing sustainability goals, including net zero emissions by 2050.

Company size
10,001+
Company stage
IPO
Headquarters
United States
Founded
1865

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