Senior Full Stack AI Engineer/Ingénieur(e) principal(e), Full Stack et intelligence artificielle (IA)
Manulife
· 3 Locations
Open
Full Time
Posted 2026-11-13
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The Senior Software Engineer – Canada Retirement (AI/ML & Agentic SDLC) designs, builds, and maintains applications and services that support Manulife’s Canadian Retirement business. This role combines strong software engineering skills with hands-on AI/ML experience and agentic SDLC practices to deliver well-architected, secure, and reliable solutions. The engineer works closely with product, business, and architecture partners to implement features, modernize platforms, and orchestrate AI-driven development workflows.
Key Responsibilities
• Design, develop, test, and maintain software components and services that support Canada Retirement products, operations, and customer experiences.
• Orchestrate agentic SDLC solutions (e.g., AI-assisted design, coding, testing, and documentation) to produce well-designed, well-implemented, and thoroughly tested outcomes.
• Implement AI-specific outcomes such as RAG-based services, advisory/assistant capabilities, and intelligent automation supporting retirement workflows.
• Apply AI tools within the SDLC (code generation, test creation, documentation, refactoring) in a governed, secure, and high-quality manner.
• Collaborate with technical leads, architects, and business stakeholders to understand requirements, refine user stories, and contribute to solution designs.
• Write clean, maintainable, and well-documented code following agreed standards, patterns, and best practices.
• Develop and maintain automated tests (unit, integration, end-to-end) to ensure quality, reliability, and regression protection.
• Participate in code reviews, providing and receiving constructive feedback to improve code quality and design.
• Contribute to CI/CD pipelines and DevOps practices, including build, deployment, monitoring, and incident support.
• Support production systems by investigating issues, performing root cause analysis, and implementing fixes and improvements.
• Help reduce technical debt by refactoring, improving performance, and simplifying complex or legacy code.
• Ensure solutions adhere to security, privacy, and compliance requirements, with a strong focus on customer data protection.
• Participate in Agile ceremonies (stand-ups, refinement, planning, retrospectives) and collaborate within cross-functional squads.
Required Qualifications
• Experience as a Software Engineer / Developer building and maintaining production systems, ideally in financial services or insurance.
• Hands-on programming experience in one or more modern languages used in Canada Retirement (e.g., Java, C#, Python, or similar).
• Practical experience using AI/ML tools and frameworks in a hands-on, “hands on keyboard” capacity.
• Experience implementing AI-specific solutions such as:Retrieval-Augmented Generation (RAG) servicesAdvisor/assistant-style solutions (e.g., chat or guidance flows)Other AI-enabled features integrated into business applications
• Exposure to agentic SDLC practices, including use of AI to support design, coding, testing, and documentation workflows.
• Understanding of RESTful APIs, integrations, and common architectural patterns (e.g., microservices, event-driven).
• Experience with automated testing and CI/CD pipelines.
• Solid grasp of security, privacy, and data protection principles, with ability to apply them in daily development work.
• Strong problem-solving skills and ability to work in a collaborative Agile environment.
Preferred Qualifications
• Experience with cloud platforms (e.g., AWS, Azure, or GCP) and infrastructure-as-code or deployment automation.
• Familiarity with observability tooling (logging, metrics, tracing) and operational best practices.
• Experience in Canadian Retirement, pensions, or related group retirement/wealth domains.
• Prior experience using AI tools (e.g., GitHub Copilot, Amazon Q, or similar) in a structured agentic SDLC environment.
• Exposure to data-related work (e.g., designing data access for RAG, tuning prompts, or working with vector stores/knowledge bases).
Competencies
• Software Engineering & Craftsmanship
• AI/ML & Agentic SDLC Application
• Problem Solving & Analytical Thinking
• Security & Customer Data Protection
• Collaboration & Communication
• Continuous Learning & Innovation
• Adaptability in Agile/Iterative Delivery
Ingénieur(e) logiciel senior – Retraite Canada
IA/AA et cycle de développement logiciel agentique
Joignez-vous à une équipe qui transforme l’expérience numérique du secteur Retraite Canada grâce à l’ingénierie logicielle moderne et à l’intelligence artificielle.
À titre d’ ingénieur(e) logiciel senior – Retraite Canada (IA/AA et cycle de développement logiciel agentique) , vous concevrez, développerez et maintiendrez des applications et des services qui soutiennent les activités de retraite au Canada. Ce poste combine de solides compétences en développement logiciel avec une expérience pratique en intelligence artificielle et en apprentissage automatique (IA/AA), ainsi qu’avec l’utilisation de pratiques agentiques tout au long du cycle de développement logiciel.
Vous collaborerez étroitement avec les équipes Produit, Affaires et Architecture afin de livrer de nouvelles fonctionnalités, moderniser les plateformes existantes et mettre en œuvre des solutions et des flux de développement propulsés par l’IA.
Principales responsabilités
• Concevoir, développer, tester et maintenir des composantes logicielles et des services qui soutiennent les produits, les opérations et l’expérience client de Retraite Canada.
• Orchestrer des solutions agentiques dans le cycle de développement logiciel, notamment pour la conception, la programmation, les tests et la documentation assistés par l’IA.
• Concevoir et mettre en œuvre des solutions d’IA, notamment des services fondés sur la génération augmentée par récupération (RAG) , des assistants ou outils-conseils intelligents et des solutions d’automatisation destinées aux processus de retraite.
• Utiliser des outils d’IA pour accélérer et amé
Skills:
ai/ml
software engineering
rag
ai tools
code quality
ci/cd
devops
production systems
root cause analysis
agile