You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights.

At Sun

Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives. When you join Sun Life, you'll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions, so you can make a meaningful difference in our Clients' lives. Discover how you can make a difference in the lives of individuals, families and communities around the world.

At Sun

Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives. Corporate IT is seeking an experienced Lead 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. 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. Bachelor's degree in computer science, Software Engineering, Data Science, or a related field, or equivalent practical experience. ~7+ years of professional software engineering experience, including 5+ years building and operating solutions on AWS. ~ Hands-on experience delivering AI, Machine Learning, or Generative AI solutions in production environments. ~ Strong 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.

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. A relevant AWS certification. 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.

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. 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. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance.

Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas perks our Clients, the communities where we operate and all of us as colleagues. Persons with disabilities who need accommodation in the application process, or those needing job postings in an alternative format, may e-mail a request to [email protected] may use artificial intelligence to support candidate sourcing, screening, interview scheduling.

Job Category: IT - Application Development Posting End Date: 29/09/2026 Our supportive, flexible, and inclusive work environment is one where you – and your career – can thrive. Whatever your aspirations, collaborative leaders and colleagues are ready to help you learn, grow, and succeed. Our purpose is to help Clients achieve lifetime financial security and live healthier lives.

As part of Sun Life’s growing team, you have an impact on people in your community and around the world. Use data to drive bold actions. Be agile and pivot as we test and learn.

At Sun

Life, we’re driving transformation, sustainability and innovation for our Clients, employees, partners, and communities.

📌 Lead Game AI Engineer (Toronto)
🏢 Sun Life Financial
📍 Toronto