Senior AI Full‐Stack Engineer

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

We are seeking a Senior Full‑Stack AI Engineer to help shape how modern AI‑driven software is built, deployed, and scaled. In this role, you will work at the intersection of cloud engineering and intelligent application development, contributing to systems that incorporate reasoning engines, autonomous AI agents, and next‑generation user experiences.

If you are motivated by experimentation with emerging AI frameworks, productionizing agent‑based workflows, and building systems that continuously learn and adapt, this role offers an opportunity to make a meaningful impact.

This position provides the opportunity to influence how intelligent, AI‑powered software is designed and delivered at scale. You will collaborate with cross‑functional teams to build secure, reliable, and cloud‑native systems that enhance real user experiences. In addition, you will contribute to architectural direction, mentor others through technical leadership, and help promote responsible AI practices across the organization.

Position Responsibilities

• Design and build intelligent, cloud‑native applications that integrate modern software engineering principles with emerging AI capabilities.
• Develop APIs, microservices, and distributed systems that support AI‑driven features, autonomous workflows, and real‑time inference.
• Prototype, evaluate, and productionize AI capabilities, including retrieval‑augmented pipelines and multi‑agent collaboration patterns.
• Leverage AI‑assisted development tools (e.g., GitHub Copilot, Claude Code) to enhance development efficiency and code quality.
• Contribute to the design of scalable AI system architectures, including prompt pipelines, vector storage, model orchestration, and inference services.
• Ensure solutions meet established standards for security, governance, resiliency, compliance, and responsible AI usage.
• Support DevOps practices, including CI/CD automation, environment consistency, and repeatable deployment processes.
• Collaborate with product, AI, cloud, and engineering teams to deliver impactful and accessible user experiences.
• Adapt to evolving priorities in a dynamic environment focused on innovation and continuous learning.

Required Qualifications

• 8+ years of experience in software engineering, preferably within enterprise or regulated environments.
• Strong proficiency in one or more modern programming languages (e.g., Python, JavaScript/TypeScript, Go, Rust) with backend or full‑stack experience.
• Hands‑on experience with cloud platforms (Azure preferred), including compute, networking, storage, identity, and serverless technologies (equivalent experience in AWS or GCP is also considered).
• Working knowledge of Kubernetes, microservices architecture, and distributed system design.
• Experience with Infrastructure as Code (IaC), Observability as Code (OaC), and tools such as Terraform.
• Familiarity with AI and orchestration frameworks (e.g., Microsoft Agent Framework, LangChain/LangGraph, Semantic Kernel, Autogen).
• Understanding of LLM integration patterns, including retrieval systems, embeddings, vector search, prompt engineering, and evaluation methods.
• Experience using AI‑enabled development tools to enhance productivity and collaboration.

Preferred Qualifications

• Experience implementing CI/CD pipelines using tools such as GitHub Actions.
• Demonstrated ability to solve complex technical challenges, particularly in distributed or AI‑driven systems.

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 distributed team, we’ll support you in shaping the future you want to see.

The role being advertised is an existing vacancy.

マニュライフとジョン・ハンコックについて

マニュライフ・ファイナンシャル・コーポレーションは、「あなたの未来に、わかりやすさを」を提供する、国際的な大手金融サービスプロバイダーです。当社について詳しくは、

マニュライフは機会均等を是とする雇用主です

マニュライフ/ジョン・ハンコックでは、多様性を受け入れます。私たちは、サービス提供先であるお客さまと同様に、多様な人材を引きつけ、育成し、定着させ、文化や個人の力を受け入れる包括的な職場環境を促進するよう努めています。当社は公正な採用、定着、昇進、報酬に努めています。当社のすべての慣行およびプログラムは、人種、祖先、出身地、肌の色、民族的出自、市民権、宗教または宗教的信念、信条、性別（妊娠および妊娠関連の状態を含む）、性的指向、遺伝的特徴、退役軍人としての地位、性自認、性に関する表明、年齢、婚姻状況、家族状況、障害、または適用法で保護されるその他の要因に対する一切の差別を行うことなく管理されます。

雇用への平等なアクセスを提供するために、障壁を取り除くことが当社の優先事項です。人事担当者は、応募者が応募プロセス中に合理的配慮を要求する場合に協力します。配慮要求のプロセス中に共有されるすべての情報は、適用される法律およびマニュライフ/ジョン・ハンコックのポリシーに準拠した方法で保存および使用されます。申請プロセスにおいて合理的配慮を要求するには、 View email address on click.appcast.io までご連絡をお願いします。

Referenced Salary Location

Waterloo, Ontario

Working Arrangement

ハイブリッド勤務

Salary range is expected to be between

$113,000.00 CAD - $163,000.00 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 View email address on click.appcast.io 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 View email address on click.appcast.io 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.