Senior Full-Stack AI Engineer

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 Life Cycle (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.
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 1 year of experience AI-enabled application delivery, preferably within financial services, insurance, risk, or highly regulated environment.
1 year 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…