Director, Solution Architect (Agentic AI and Corporate Systems)

The Director Solution Architecture for Agentic AI and Corporate Systemsreportsto the Assistant Vice President for Corporate Enterprise Architecture and leads solution architecture for complex high impact initiatives across business groups.

This role ensures that solution designs are aligned with enterprise architecture standards business strategy and technology roadmaps while enabling efficienthigh qualitydelivery. The Director acts as a senior technical and architectural advisor balancing strategic direction with practical execution guidance and continuously improving solution architecture practices.

The initial focus of this role will be solution architecture leadership for Agentic AI and Generative AI-enabled initiatives with support for additional Corporate IT initiatives as priorities evolve.

Qualifications

Education

• Bachelors degree in Computer Science Engineering Information Systems Business Technology or a related discipline or equivalent practical experience.

• Mastersdegree is an asset.

• Architecture certifications such as TOGAF IASA AWS Certified Solutions Architect or equivalent are preferred.

• Relevant cloud and AI credentials are valued such as AWS Certified AI Practitioner AWS Certified Machine Learning Engineer - Associate Azure AI Engineer or equivalent credentials.

Experience

• 10 or more years of progressive experience in solution enterprise platform application integration or domain architecture roles.

• Demonstrated experience leading architecture for largescale complex technology initiatives in a regulated enterprise environment.

• Strong hands-on technical understanding of application integration data security cloudoperationaland AI-enabled solution architecture.

• Experience guiding delivery teams through architecture governance design reviews risk assessments decision records exception management and production readiness activities.

• Solid applied understanding of Generative AI and Agentic AI patterns including LLM-enabled applications RAG toolusing agents supervised workflows human approval patterns and AI governance considerations.

• Experience designing evaluating or providing architecture guidance forcloudbasedAI automation or datadriven solution capabilities preferably in the AWS ecosystem or equivalent cloud platforms.

• Experience partnering with Security Data Privacy Risk Legal Operations and business stakeholders to deliver secure compliant productionready solutions.

• Experience evaluating buildvsbuy decisions including SaaS embedded AI enterprise AI platforms vendor capabilities cost integration complexity andlongtermsustainability.

Preferred Experience and Assets

• Financial services insurance or other regulated industry experience.

• Exposure to Responsible AI model risk management thirdparty risk technology and cyber risk privacy data governance and regulatory expectations relevant to AI-enabled solutions.

• Experience with AWS AI services such as Amazon Bedrock Amazon Bedrock Agents Amazon AgentCore model hosting retrieval orchestration observability or equivalent AI platform capabilities.

• Practical experiencewith agent orchestration frameworks or patterns such as LangGraph Semantic Kernel StrandsAutoGen or similar technologies.

• Understanding ofLLMOps MLOpsAgentOps AI evaluation prompt and configuration management AI monitoring and production support models.

• Experience assessing AI capabilities in enterprise platforms such as ServiceNowSalesforceMicrosoft Workday SAP Oracle or similar SaaS ERP and COTS environments.

• Experience with data science or ML engineering tools such as TensorFlow orPyTorchis anasset butnot required.

Main Accountabilities

• Lead end-to-end solution architecture for complex highimpact Corporate Systems initiatives with an initial focus on Agentic AI Generative AI AI-enabled workflow automation and related enterprise platform capabilities.

• Translate business strategies objectives and requirements into secure scalable resilient andcosteffectivesolution architectures aligned with enterprise standards business priorities and technology roadmaps.

• Guide business and delivery teams in selecting the right solution pattern including when to use Agentic AI Generative AI embedded platform AI workflow automation traditional integration or other enterprise technology approaches.

• Lead solution design across application integration data security cloud operations AI andnonfunctionalrequirements including performance scalability resilience observability auditability maintainability and cost.

• Define apply and evolve reusable architecture patterns and guardrails for AI-enabled and Corporate Systems solutions including model access context management data sourcing tool invocation human oversight audit evidence and operational support.

• Assess architectural trade-offs risks dependencies technical debt vendor constraints buildvsbuy options integration complexity data control security privacy compliance andlongtermsustainability.

• Partner with Enterprise Architects Domain Architects Business Architects AI platform teams Cybersecurity Data Risk Legal Privacy Operations delivery teams vendors and business stakeholders to drive alignment and accountable outcomes.

• Provide architecture governance support including design reviews risk assessments exception management architecture decision records AI solution reviews and production readiness assessments.

• Establish and maintain architecture runway artifacts such as conceptual designs targetstate architectures transition designs reusable patterns solution guardrails decision records and productionreadiness guidance.

• Coach architects engineers and delivery teams on pragmatic solution design enterprise standards responsible AI adoption reuse modernization and effective delivery practices.

Skills & Competencies

• Leads architecture for complex initiatives and balances business outcomes enterprise standards delivery realities andlong termmaintainability.

• Understands how Generative AI and Agentic AI affect solution design including context retrieval model access tool invocation human oversight evidence cost and operational controls.

• Communicates complex architecture and AI concepts clearly to executives business stakeholders architects engineers vendors and control partners.

• Balances innovation with risk management security privacy resilience auditability and compliance expectations in a regulated environment.

• Provides architecture guidance that enables delivery teams to move forward safely efficiently and with clear decisions.

• Frames architecture decisions in terms of business value risk reduction reuse modernization cost-effectiveness and measurable outcomes.

• Mentors architects and engineers builds reusable architecture knowledge and helps create a stronger internal bench for AI-enabled and broader solution delivery.

Success Indicators

• Delivery ofhighqualitysolution architectures that align with enterprise standards business priorities risk expectations and delivery outcomes.

• Improved architecture consistency and reuse across Corporate IT initiatives through effective use of reference architectures approved patterns reusable components and architecture runway artifacts.

• Successful enablement of AI-enabled Generative AI and Agentic AI solutions that are secure reliable governed costeffective and production ready.

• Effective partnership with business technology risk security privacy data operations and vendor stakeholders with clear architectural decisions and accountable outcomes.

• Visible contribution to the maturity of solution architecture practices including stronger design reviews clearer decision records better delivery guardrails and improved architectural health.

• Growth of architecture and engineering capability through coaching knowledge sharing and practical guidance on both traditional solution architecture and AI-enabled solution patterns.

Whats in it for you

• Great Place to Work Certified for Most Trusted Executive Team in Canadaand 2023

• Great Place to Work Certified for Best Workplaces in Canada - 2025

• Canada Order of Excellence for Mental Health at Work certification from Excellence Canada. Sun Life is one of only four companies in Canada to ever receive this certification 2024

• TopWork Places for Remote Work Monster Canada - 2024

• Great Place to Work Certified for Best Workplaces in Canada 2024 and 2022

• Great Place to Work Certified for Best Workplaces for Women in Canada - 2024

• Flexible hybrid work model.#LI-Hybrid

• Pension stock and savings programs to help build and enhance your future financial security

• Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

• A friendly collaborative and inclusive culture

• Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

• Competitive salary and bonus structure influenced by market range data

• The opportunity to move along a variety of career paths with amazing networking potential