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About the Role
Sun Life's 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. This role combines 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.
Responsibilities
- 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.
Requirements
- 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.
- This role requires Reliability Status Clearance.
- 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.
Skills
- AI
- Machine Learning
- Generative AI
- AWS
- Python
- RESTful APIs
- Event-driven services
- Amazon Bedrock
- AWS Lambda
- Amazon API Gateway
- AWS Step Functions
- Amazon EventBridge
- Amazon S3
- Amazon DynamoDB
- Amazon Aurora
- Amazon RDS
- RAG
- Vector databases
- Vector-search services
- AI agents
- Tool-using workflows
- AWS IAM
- AWS KMS
- Git
- Automated testing
- CI/CD
- Infrastructure as code
- Terraform
- AWS CDK
- AWS CloudFormation
- Docker
- Amazon ECS
- Amazon EKS
- Amazon Bedrock Knowledge Bases
- Amazon Bedrock Guardrails
- Agents for Amazon Bedrock
- Amazon Bedrock AgentCore
- Amazon SageMaker
- Amazon OpenSearch Service
- PostgreSQL with pgvector
- AWS Glue
- PySpark
- React
- AWS certification
- Amazon QuickSight
Location
- Canada
Work Type
- Hybrid
Experience Level
- 7+ years of professional software engineering experience
- 5+ years building and operating solutions on AWS
Education Level
- Bachelor’s degree in computer science, Software Engineering, Data Science, or a related field, or equivalent practical experience.
Salary/Compensations
- 90,000 - 140,000
Benefits
- 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.
About the Company
- 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.
- 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.
Equal Opportunity
- Diversity and inclusion have always been at the core of our values at Sun Life.
- A diverse workforce with wide perspectives and creative ideas benefits our Clients, the communities where we operate and all of us as colleagues.
- We welcome applications from qualified individuals from all backgrounds.
- 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 thebrightside@sunlife.com.
- We are proud to be a hybrid organization that offers our employees the choice and flexibility to work from both the office and virtually based on the needs of the business, our Clients and you.
- We may use artificial intelligence to support candidate sourcing, screening, interview scheduling.
- We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.