Step into a role where AIisn’tan add‑on—it’s the foundation.
We’re looking for a Senior Full‑Stack AI Engineer who wants to shape how modern AI‑driven software is built, deployed, and scaled. You’ll work at the frontier of cloud engineering and intelligent application development, building systems that incorporate reasoning engines, autonomous AI agents, and next‑generation user experiences.
If you’re excited about experimenting with the latest AI frameworks, productionizing agentic workflows, and building systems that learn, adapt, and automate — this is the place to do your most impactful work.
This role offers the opportunity to help shape how intelligent, AI‑powered software is designed, built, and deployed at scale. As a Senior Full‑Stack AI Engineer, you’ll contribute directly to our mission of turning emerging AI capabilities into secure, reliable, and impactful cloud‑native systems that enhance real user experiences. You’ll play a key role in defining architectural patterns, building production‑grade AI features, and influencing how teams across the organization adopt and use AI responsibly. In return, you’ll gain hands‑on experience working at the frontier of applied AI, collaborate with other senior engineers, and grow your impact as a technical leader shaping the next generation of intelligent applications.
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.
- 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.
- We’ll empower you to learn and grow the career you want.
- We’ll recognize and support you in a flexible 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.
The role being advertised is an existing vacancy.
Referenced Salary Location
Waterloo, Ontario
Hybrid
Salary range is expected to be between
$129,400.00 CAD - $179,400.00 CAD
Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact [email protected] for the salary range for your location.
Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact [email protected] for more information about U.S.-specific paid time off provisions.
