- Location
- CAN, Ontario, Waterloo, 500 King Street North, Canada · Toronto, Ontario
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Closing date
- Aug 6, 2026
- Source
- Workday
Description
Step into a role where AI isn’t an 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.
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 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.
#LI-Hybrid
The role being advertised is an existing vacancy.
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 https://www.manulife.com/en/about/our-story.html.
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 all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.
It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact [email protected].
Referenced Salary Location
Waterloo, OntarioWorking Arrangement
Salary range is expected to be between
$129,400.00 CAD - $179,400.00 CADEmployees 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.
We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.
