Lead Solution Architect AI/ML

Manulife • Toronto, ON

11d • Hybrid

About The Position

This is an opportunity to drive our Global Wealth and Asset Management’s cross-enterprise solution architecture vision by enabling firm-wide thinking, reuse, and convergence across platforms. You will translate long-term objectives into actionable designs focused on middle- and back-office Retirement applications, accelerating modernization and AI-enabled capabilities. Your work directly contributes to secure, resilient, and scalable solutions that enhance client value, while giving you the chance to influence executive decisions and mentor architects and engineers. You’ll spearhead AI/ML integration, guide legacy modernization, and shape reference architectures and governance aligned to the enterprise target state at a global scale.

Requirements

• Bachelor’s or Master’s in Computer Science, AI, or related field.
• 8 years in solution architecture or senior engineering, including 2 years delivering production-grade AI/ML implementations.
• Expertise in microservices and cloud-native design across AWS/Azure/GCP; proficiency in Python plus at least one of Java, C, or Go.
• Experience with AI-assisted development tools (e.g., GitHub Copilot, Amazon Q) and automated code translation frameworks.
• DevOps & MLOps experience: CI/CD pipelines, testing non-deterministic AI outputs, Infrastructure-as-Code (Terraform/CloudFormation).
• Governance & security for AI: implement Human-in-the-Loop protocols and secure data access patterns.
• Strong knowledge of architecture patterns (microservices, GoF, SOA, event sourcing), integration patterns (DDD, APIs, messaging, streaming), and non-functional requirements (scalability, resiliency, security, privacy).
• Ability to work in Agile environments; refined communication skills effective with engineers and executives.

Nice To Haves

• Hands-on delivery of production-grade AI/ML systems leveraging LLMs and RAG for software engineering use cases.
• Experience with AI-assisted development tools and automated code translation frameworks.
• Expertise in CI/CD and automated testing strategies tailored to non-deterministic AI outputs; strong Infrastructure-as-Code.
• Proven implementation of Human-in-the-Loop controls and secure data access patterns for AI-generated code.
• Demonstrated performance tuning and security hardening of AI-generated code to meet enterprise standards.

Responsibilities

• Design end-to-end solution architectures embedding AI/ML capabilities (LLMs, RAG) into product and platform workflows.
• Lead pragmatic modernization of legacy codebases (e.g., COBOL, monolithic Java) into cloud-native microservices using AI-assisted approaches.
• Establish frameworks for AI-driven code generation, automated documentation, and high-coverage test suites.
• Identify, prioritize, and remediate technical debt using AI (code smells, vulnerabilities, inefficient patterns).
• Architect integration patterns connecting GenAI components with enterprise data, APIs, messaging, and streaming (sync/async).
• Optimize AI-generated code for enterprise-grade quality, security, and performance; enforce non-functional requirements (availability, resiliency, privacy).
• Implement AI governance with Human-in-the-Loop controls and secure data access; contribute to standards and guidance.
• Produce conceptual, solution, and component-level architectures and artifacts; review and advise across teams.
• Collaborate on roadmaps, scoping, and business process modeling to deliver data-driven solutions; present proposals and AI innovation to executive leadership.
• Develop and socialize reference architectures and implementation patterns; mentor engineers and architects.

Benefits

• health
• dental
• mental health
• vision
• short- and long-term disability
• life and AD&D insurance coverage
• adoption/surrogacy and wellness benefits
• employee/family assistance plans
• various retirement savings plans (including pension and a global share ownership plan with employer matching contributions)
• financial education and counseling resources
• generous paid time off program in Canada includes holidays, vacation, personal, and sick days
• full range of statutory leaves of absence

What This Job Offers

• Job Type: Full-time
• Career Level: Senior