Vous êtes aussi unique que votre parcours, votre expérience et votre point de vue. Ici, vous serez encouragé, habilité et défié à être à votre meilleur. Vous travaillerez avec des collègues dynamiques – des experts dans leurs domaines – qui sont désireux de partager leurs connaissances avec vous. Vos leaders vous inspireront et vous aideront à atteindre votre potentiel et à vous envoler vers de nouveaux horizons. Chaque jour, vous aurez de nouvelles et passionnantes occasions de rendre la vie plus brillante pour nos Clients – qui sont au cœur de tout ce que nous faisons.

Chez Sun Life, nous sommes guidés par notre Raison d'être : aider nos Clients à réaliser la sécurité financière à vie et à vivre une vie plus saine. Nos valeurs façonnent notre façon de travailler : bienveillance, authenticité, audace, inspiration et impact.

Quand vous vous joignez à Sun Life, vous travaillez avec des collègues passionnés et des leaders habilitants qui soutiennent votre croissance et célèbrent vos contributions, afin que vous puissiez faire une différence significative dans la vie de nos Clients.

Découvrez comment vous pouvez faire une différence dans la vie des personnes, des familles et des communautés du monde entier.

Description de poste:

At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring, and impactful.

Corporate IT is seeking an experienced Senior AI Engineer to design, develop, deploy, and support enterprise-grade Artificial Intelligence, Machine Learning, and Generative AI solutions on AWS. The successful candidate will combine strong software engineering capabilities with hands-on knowledge of AWS AI/ML and application services to build secure, scalable, observable, and production-ready solutions that drive measurable business value.

This role will collaborate with architects, product owners, data engineers, security and governance partners, and business stakeholders to deliver AI-powered applications, retrieval-augmented generation (RAG) solutions, intelligent agents, automation workflows, and reusable AI platform capabilities. The ideal candidate has a proven record of taking complex software and AI solutions from design through production operations.

What will you do?

- Design, develop, test, deploy, and operate AI, Machine Learning, and Generative AI solutions using AWS services and approved enterprise architecture patterns.
- Build production applications using foundation models through Amazon Bedrock, including prompt engineering, RAG, tool use, intelligent agents, and workflow automation.
- Design secure RAG pipelines covering document ingestion, chunking, embeddings, indexing, retrieval, grounding, evaluation, and governance using Amazon S3 and approved vector-search technologies.
- Engineer agentic solutions with controlled tool access, orchestration, state and memory, error handling, authorization, human approval points, and auditable execution.
- Build scalable serverless and containerized services using AWS Lambda, Amazon API Gateway, AWS Step Functions, Amazon EventBridge, and, where appropriate, Amazon ECS or Amazon EKS.
- Implement fit-for-purpose data and persistence patterns using Amazon S3, Amazon DynamoDB, Amazon Aurora or Amazon RDS, and AWS Glue.
- Apply enterprise security and governance controls,



including least-privilege AWS IAM, encryption with AWS KMS, secrets management, private connectivity, data protection, model guardrails, and auditable access patterns.
- Implement automated evaluation, testing, monitoring, tracing, and cost controls for AI applications, including model and tool-call quality, latency, reliability, safety, and usage metrics.
- Build CI/CD pipelines and infrastructure as code; contribute reusable components, engineering standards, automated quality gates, security guardrails, and operational runbooks.
- Create and maintain technical design artifacts covering application functionality, architecture, data flows, interfaces, integrations, security controls, and operational requirements.
- Provide post-production support, troubleshoot complex issues, optimize performance and cost, and continuously improve deployed solutions.
Collaborate effectively in an Agile environment, communicate technical trade-offs clearly, and mentor junior team members.

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What do you need to succeed?

- Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent practical experience.
- 5+ years of professional software engineering experience, including 3+ years building and operating solutions on AWS.
- Hands-on experience delivering AI, Machine Learning, or Generative AI solutions in production environments.
- Robust Python development skills and experience designing, testing, and integrating RESTful APIs and event-driven services.
- Practical experience with Amazon Bedrock and core AWS application services such as AWS Lambda, Amazon API Gateway, AWS Step Functions, Amazon EventBridge, Amazon S3, Amazon DynamoDB, and Amazon Aurora or Amazon RDS.
- Experience building RAG solutions, including document ingestion, chunking, embeddings, retrieval, grounding, evaluation, and vector databases or vector-search services.
- Experience developing AI agents or tool-using workflows, including orchestration, state or memory, safe tool access, error handling, and human approval points.
- Working knowledge of AWS security and operations, including AWS IAM, AWS KMS, secrets management, logging, monitoring, tracing, and incident support.
- Experience with Git-based development, automated testing, CI/CD, and infrastructure as code using Terraform, AWS CDK, or AWS CloudFormation.
- Understanding of containerization and cloud deployment patterns using Docker and at least one of Amazon ECS or Amazon EKS.
Strong communication, collaboration, analytical, and problem-solving skills, with the ability to explain technical decisions to varied stakeholder groups.

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Preferred qualifications

- Experience with Amazon Bedrock Knowledge Bases, Amazon Bedrock Guardrails, Agents for Amazon Bedrock, or Amazon Bedrock AgentCore.
- Experience with Amazon SageMaker for custom machine learning development, training, deployment, or MLOps.
- Experience with Amazon OpenSearch Service, PostgreSQL with pgvector, or other enterprise vector-search technologies.
- Experience with AWS Glue, data pipelines,



PySpark, or analytics workloads.
- Experience developing user interfaces with React.
Experience with Amazon QuickSight when analytics dashboard development is part of the solution.

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What’s in it for you

- We’re honoured to be recognized as a 2026 Best Workplaces in Canada by Great Place to Work® Canada.
- We are thrilled to be recognized by Excellence Canada with their top-level certification, the Canada Order of Excellence for Mental Health at Work® , for prioritizing employee well-being, fostering a positive work culture, and achieving excellence in mental health.
- Wellness programs that support the three pillars of your health – mental, physical, and financial
- The opportunity to move along a variety of career paths with amazing networking potential.
As a hybrid organization, you and your leader use business and Client needs to choose where you work, at home or in the office

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Unique Requirements:

- This role requires Reliability Status Clearance. In addition to a law enforcement inquiry and a credit check, as part of your application, the Government of Canada will ask if you lived or travelled outside of Canada for 6-consecutive months during the last 5 years, and you must account for all activities during this time. Important: Obtaining Reliability Status Clearance within a reasonable amount of time is a condition required to start employment for this role at Sun Life.
Must be able to satisfactorily complete applicable background checks prior to the start date and during employment, in accordance with Sun Life’s policies and practices.

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L'étendue du salaire de base s'applique au lieu principal pour lequel l'emploi est affiché. Elle peut varier en fonction du lieu de travail du candidat retenu ou d'autres facteurs. En plus du salaire de base, les employés admissibles de Sun Life participent à divers régimes d'encouragement dont le paiement est discrétionnaire et assujetti au rendement individuel et à celui de l'entreprise. Certains rôles axés sur les ventes comportent des régimes d'encouragement à la vente basés sur les résultats des ventes individuelles ou de groupe.

La diversité et l'inclusion ont toujours été au cœur de nos valeurs chez Sun Life. Une main-d'œuvre diversifiée avec des perspectives variées et des idées créatives profite à nos Clients, aux communautés où nous opérons et à nous tous comme collègues. Nous accueillons les demandes de personnes qualifiées de tous les milieux.

Les personnes handicapées qui ont besoin d'accommodements dans le processus de demande ou celles qui ont besoin d'offres d'emploi dans un format différent peuvent envoyer une demande par courriel à [email protected] .

Nous sommes fiers d'être une organisation hybride qui offre à nos employés le choix et la flexibilité de travailler à la fois au bureau et virtuellement en fonction des besoins de l'entreprise, de nos Clients et de vous.

Nous pouvons utiliser l'intelligence artificielle pour soutenir la recherche de candidats, le filtrage et la planification des entrevues.

Nous remercions tous les candidats d'avoir manifesté de l'intérêt pour ce poste. Seuls les candidats sélectionnés pour une entrevue seront contactés.

Échelle salariale :

90,000/90 000 - 140,000/140 000

Catégorie d'emploi :

Développement d'applications - TI

Fin de l'affichage :

29/09/2026

📌 Senior AI Engineer (North York)
🏢 Sun Life
📍 North York