Senior AI Engineer

Manulife Financial; Toronto; Hybrid; CAD 113,000 - 163,000; Full time

Benefits offered by this job

Hybrid work environment

Job summary

Manulife Financial is seeking a Senior AI Engineer to drive AI-enabled full-stack development, delivering modern cloud-based applications that improve decision-making and business value. You will design AI features, integrate LLM-based patterns, and ensure governance and security across enterprise workflows.

The role emphasizes Python backend, React frontend, REST APIs, and Azure cloud, with a focus on scalable, production-ready solutions and collaboration with product owners and stakeholders.

Qualifications

• 7+ years of experience in full-stack design and development, with at least 3 years delivering AI-enabled applications.
• 3+ years hands-on Generative AI, LLMs, prompt engineering, RAG, and responsible AI practices.
• Strong Python for backend development and API integration or AI-enabled workflows.
• Experience building modern frontends with React and API-driven architecture.

Responsibilities

• Design, build, and integrate AI-enabled features with security and governance in enterprise apps.
• Lead full-stack development including UI, APIs, backend, and integration layers for scalable AI-enabled apps.
• Collaborate with engineers, product teams, risk, and stakeholders across SDLC to improve delivery and value.
• Promote modern cloud-native engineering practices on Microsoft Azure and CI/CD pipelines.

Skills

Full-stack development

AI-enabled applications

Python backend

React frontend

REST API design

Azure Cloud

LLMs & prompt engineering

CI/CD & secure coding

AI governance & risk management

Tools

Azure Cloud

LLMs

RAG

Semantic search

Job description

As a Senior AI Engineer, you will be responsible for Full-Stack Software Development i.e. building modern, cloud-based, and AI-enabled applications that help Manulife make decisions easier and lives better.

You will contribute to the design, development, and delivery of scalable and secure enterprise applications while integrating AI capabilities into business workflows. The role partners closely with engineers, product owner, cross-functional technology teams, risk and security partners, and business stakeholders to build secure, reliable, user-focused, and production-ready applications using modern engineering practices across the Software Development LifeCycle (SDLC).

Position Responsibilities:

AI-Enabled Application Development

• Design, build, and integrate AI-enabled and Generative AI features, following security, responsible AI, and enterprise governance practices.
• Lead practical AI application patterns including Large Language Models (LLMs), prompt engineering and orchestration, retrieval-augmented generation (RAG), semantic search, model evaluation, guardrails, and human-in-the-loop workflows for text-heavy and data-intensive enterprise use cases.

Full-Stack Engineering & Delivery

• Design, develop, test, and maintain full-stack applications including user interfaces, APIs, backend services, and integration layers for scalable enterprise applications with AI-enabled capabilities driving measurable outcomes.
• Translate complex business, risk, and operational requirements into secure, scalable, maintainable, and measurable technical solutions that improve decision-making, productivity, automation, and business value.
• Establish and follow best engineering practices for AI-enabled application lifecycle management, performance monitoring, value tracking, evaluation, and continuous improvement.
• Collaborate with engineers, product teams, and stakeholders on design, code reviews, troubleshooting, documentation, and continuous improvement.
• Support the adoption of modern software engineering patterns, cloud-native practices with exposure to Microsoft Azure Cloud, API-driven architectures, and AI-enabled development approaches.

Cloud, Architecture & Stakeholder Collaboration

• Support the adoption of modern software engineering patterns, cloud-native practices with exposure to Microsoft Azure Cloud, API-driven architectures, and AI-enabled development approaches.

Strategy, Governance & Risk Management

• Contribute to AI and data strategy by identifying reusable engineering patterns, scalable AI assets, data enrichment opportunities, and practical modernization paths for enterprise application delivery.

Act as a trusted technical contributor to business, technology, risk, security, and product leaders by influencing design patterns, clarifying blockers, and supporting delivery with clear technical expertise.

Required Qualifications:

• 7 years of industry experience in full-stack application design and development such as frontend, backend, APIs, databases, integration layers, or cloud-based platforms, with at least 3 years of experience AI-enabled application delivery, preferably within financial services, insurance, risk, or highly regulated environment.
• 3+ years of hands-on experience with Generative and Agentic AI, including Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), AI governance, and responsible AI practices.
• Strong hands-on experience with Python for backend development, API integration or AI-enabled application workflows.
• Strong experience building modern frontend and full-stack web applications using React JS.
• Experience designing, building, and supporting REST APIs, backend services, microservices, and integration layers across enterprise systems.
• Experience working with relational databases such as Azure SQL and PostgreSQL including SQL query development, application integration, data modeling concepts, and support for data-driven application features.
• Practical experience with cloud-based application development or support using Microsoft Azure.
• Experience with CI/CD pipelines, secure coding practices and production support practices, including logging and monitoring capabilities.

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.

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、 https://www.manulife.co.jp/lをご覧ください。

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, [e-mail]までご連絡をお願いします。

Referenced Salary Location

Toronto, 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 [e-mail] 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 [e-mail] 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.