Director of People Intelligence and AI Innovation at iA Financial Group. Leading advanced analytics and people intelligence strategy to support executive decision - making.
About the role
- Senior Full-Stack AI Engineer developing AI-driven software at Manulife. Focusing on cloud-native systems and intelligent applications leveraging modern AI capabilities.
Responsibilities
- Design and build intelligent cloud-native applications that combine modern software engineering with emerging AI capabilities
- Develop APIs, microservices, and distributed systems that support AI-driven features, autonomous workflows, and real-time inference
- Integrate advanced AI frameworks such as Microsoft Agent Framework, LangChain/LangGraph, Semantic Kernel, and Autogen to build reasoning engines, orchestrators, and agent-based experiences
- Prototype, evaluate, and productionize AI features, from retrieval-augmented pipelines to multi-agent collaboration patterns
- Use AI engineering tooling (GitHub Copilot, Claude Code, etc.) to improve development velocity, code quality, and experimentation
- Shape architectural patterns for AI systems, including prompt pipelines, vector storage, model orchestration, and scalable inference services
- Ensure all solutions meet the highest standards for security, governance, resiliency, compliance, and responsible AI
- Contribute to DevOps maturity, including CI/CD automation, environment consistency, and repeatable deployment patterns
- Collaborate with product, AI, cloud, and engineering teams to deliver modern, intelligent, high-impact user experiences
- Thrive in an environment where priorities shift quickly as we explore new capabilities and unlock new opportunities with AI
Requirements
- 8 + years of engineering experience, ideally building enterprise-grade or regulated systems
- Strong foundational skills in Python (preferred), Javascript/Typescript, Rust, Go or other modern programming languages with demonstrated backend or full-stack proficiency
- Hands-on experience with Cloud engineering (Azure preferred) including serverless, identity & access, compute, networking, and storage
- Equivalent knowledge in AWS or GCP will certainly be considered
- Working knowledge of Kubernetes, microservices, and distributed system design
- Proficiency with Infrastructure as Code (IaC), Observability as Code (OaC) and Terraform
- Experience with AI agent and orchestration frameworks such as (but not limited to) Microsoft Agent Framework, LangChain/LangGraph, Semantic Kernel, Autogen, etc.
- Familiarity with LLM integration patterns, retrieval systems, embeddings, vector search, prompts, and evaluation tooling
- Comfort using AI-accelerated development tools like GitHub Copilot or Claude Code
- Experience implementing CI/CD pipelines with GitHub Actions
- Strong problem-solving skills — especially when diagnosing complex, distributed, or AI-dependent behaviors
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 including holidays, vacation, personal, and sick days
- full range of statutory leaves of absence
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