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 intelligentcloud‑nativeapplicationsthat combine modern software engineering with emerging AI capabilities.
- Develop APIs, microservices, and distributed systemsthat support AIdriven features, autonomous workflows, and realtime inference.
- Integrate advanced AI frameworkssuch 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 recent 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 Cloudengineering(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. The role being advertised is an existing vacancy. 宏利金融有限公司是全球领先的金融服务提供商，致力于帮助大众轻松作出明智抉择，实现精彩人生。如欲了解更多关于我们的信息，请访问人寿保险-养老保险-健康保险-中宏保险官网 (manulife-sinochem.com).



宏利是平等機會僱主 在宏利／恒康，我們擁抱多元。我們致力於吸引、培養及挽留和所服務客戶同樣多元的員工，並從而營造包容的工作環境，接納文化和個體差異。我們矢志維持公平的招聘、挽留、晉升及薪酬制度，我們管理的所有實踐及項目不會因種族、血統、原籍地、膚色、族裔、國籍、宗教或宗教信仰、信仰、性別（包括懷孕及其相關情況）、性取向、遺傳特徵、退伍軍人身份、性別認同、性別表達、年齡、婚姻狀況、家庭狀況、殘疾或受適用法律保護的任何其 我們的首要任務是消除障礙，為員工提供平等就業機會。人力資源部代表將盡力為應徵過程中提出要求的申請人提供合理協助。申請人要求提供協助所分享的信息將會按照適用法律及宏利／恒康政策儲存及使用。應徵過程中如需協助，請聯絡 [email protected]。 Referenced Salary Location Waterloo, Ontario Working Arrangement 混合办公 Salary range is expected to be between $129,400.00 CAD - $179,400.00 CAD Employees also have the prospect 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.

📌 Senior AI Full‐Stack Engineer (London)
🏢 Manulife Financial
📍 London