AI Engineer

Manulife Financial; Toronto; Hybrid; CAD 75,000 - 141,000; Full time

Job summary

A leading financial services provider located in Toronto is looking for an experienced AI Application Developer to design and deploy innovative AI-powered applications. Candidates should possess strong skills in Python, cloud platforms, and compliance with data privacy standards. This role offers a hybrid working arrangement with competitive salary and comprehensive benefits.

Benefits

Health and dental insurance

Retirement savings plans

Generous paid time off

Employee assistance programs

Qualifications

• 3+ years of experience building production ML/AI systems.
• Hands-on with cloud platforms and CI/CD.
• Experience with building secure APIs.

Responsibilities

• Design and deploy production AI applications end to end.
• Build secure, scalable APIs and model serving layers.
• Collaborate with domain experts to understand complex use cases.

Skills

Production ML/AI system development

Python

LLM frameworks

Cloud platforms

Docker/Kubernetes

SQL skills

Data privacy and compliance

Strong communication skills

Education

Bachelor’s or Master’s in Computer Science or Engineering

Tools

Docker

Kubernetes

Job description

Join Manulife and be part of an exceptionally dedicated team where your work ethic will determine the success of our innovative solutions. Apply now to compete at the forefront of generative AI and financial technology!

At Manulife, we offer a collaborative environment where you will craft, develop, and deploy AI-powered applications to support internal teams and client-facing platforms.

Position Responsibilities

• Design, build, and deploy production AI applications end to end, focusing on LLM-powered services for chat, Q&A, summarization, extraction, and content generation.
• Build and maintain secure, scalable APIs, model serving layers, and containerized inference services with observability and monitoring.
• Create robust data ingestion pipelines: chunking, metadata, embedding generation, indexing, and freshness strategies.
• Ensure data privacy, PII protection, content filtering, policy enforcement, and auditability to meet compliance requirements (e.g., FINRA, SEC).
• Optimize performance and cost through batching, caching, autoscaling, and efficient token usage.
• Collaborate with domain and product teams to transform use cases into measurable, production-ready AI features; communicate progress, trade-offs, and results to collaborators.
• Translate ambiguous problems into defined AI solutions with clear SLAs, SLOs, and success metrics.
• Implement safety guardrails: filters, prompt policies, tool/function constraints, and incident logging.
• Provide reusable components, SDKs, and reference architectures to accelerate adoption across teams.
• Document data lineage, retention, and security controls; participate in compliance reviews and audits.
• Collaborate with financial domain experts to understand complex use cases in wealth management, retirement planning, and client servicing.
• Work closely with data scientists, product managers, and engineering teams to translate the latest advancements in generative AI into practical, production-ready applications.
• Regularly involve collaborators: collect needs, explain technical choices, and convert outcomes into business value.

Required Qualifications

• Bachelor’s or Master’s in Computer Science, Engineering, or related field.
• 3+ years building production ML/AI systems with deployed services.
• Strong Python skills and experience with LLM frameworks.
• Hands-on with cloud platforms, Docker/Kubernetes, and CI/CD.
• Practical experience with embeddings, vector stores, and retrieval design.
• Experience building secure APIs and inference services with monitoring and observability.
• Strong SQL skills for analysis, data validation, and extraction from enterprise stores.
• Understanding of latency/cost trade-offs and optimization techniques.
• Strong communication abilities and background in partnering with non-technical customers.

Preferred Qualifications

• PhD in Computer Science, Engineering, or related field.
• Familiarity with enterprise architecture, APIs, and secure software design in regulated environments.
• Strong data engineering skills for ETL/ELT, schema design, and metadata management.
• Exposure to multimodal pipelines.

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.

關於宏利和恒康

宏利金融公司是一家業界領先的國際金融服務商，致力於幫助人們實現「輕鬆投資理財，樂享豐盛人生」。若要進一步了解我們，請瀏覽

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他因素而區別對待。

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。應徵過程中如需協助，請聯絡 [e-mail]。

Salary location: Toronto, Ontario

Working Arrangement: 混合式

Salary range is expected to be between $75,880.00 CAD - $140,920.00 CAD

If you are applying for this role outside of the primary location, please contact [e-mail] for the salary range for your location. 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. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.

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 [e-mail] for more information about U.S.-specific paid time off provisions.