Step into a role where AI isn't an add ‑ on - it ' s the foundation.

Position 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.

Required Qualifications:

- 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 behaviours.

When you join our team:

- We'll empower you to learn and grow the career you want.
- We'll recognize and support you in a versatile environment where well-being and inclusion are more than just words.
- As part of our global team, we'll support you in shaping the future you want to see.

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About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit .

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer a

📌 Senior AI Full‑Stack Engineer (Ontario)
🏢 PVH (Tommy Hilfiger/Calvin Klein)
📍 Ontario