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Added 15 mins ago
Senior DevSecOps Engineer
Wissen Technology
Calgary, AB
Full-time
Implement and maintain Infrastructure as Code using Terraform / OpenTofu, CloudFormation, and related tooling
Added 1 hour ago
Senior AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
Full-time
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…
Added 2 hours ago
OBSERVABILITY ENGINEER
Zodiac Solutions, Inc
Halifax, NS
Full-time
We are seeking an experienced Observability Engineer to join our Enterprise Kubernetes Platform team at a leading financial services organization.
Added 2 hours ago
Senior Data Engineer
TripleLift
Toronto, ON
We're TripleLift, an advertising platform on a mission to elevate digital advertising through beautiful creative, quality publishers, actionable data and smart targeting. Through over 1…
Added 2 hours ago
Senior Data Engineer
Precision AI
Calgary, AB
Full-time
You will build the platform that fixes this. You own how field data gets from the aircraft into a governed, queryable, reproducible asset that our ML engineers can pull training sets from…
Added 2 hours ago
Sr. Software Development Engineer in Test (Agentic)
Dialpad
Kitchener, ON
In this role, you will develop substantial amounts of automated test infrastructure and partner deeply with the development team to make our fast-growing AI platform more testable, more…
Added 5 hours ago
AI/ML Platform Engineer (Cloud Infrastructure)
K&K Global Talent Solutions INC.
ON · Ontario, Canada
Full-time
Position: AI/ML Platform Engineer (Cloud Infrastructure)
Added 5 hours ago
Software Engineer II
Socure
Toronto, ON · Greater Toronto Area, Canada
Full-time
The Agentic AI Foundations team is building the core platform, systems, and primitives that enable Socure to transition from traditional software workflows to agent-native operations. As a…
Added 5 hours ago
Senior Data Engineer
MatchBox Consulting Group
Vancouver, BC
Contract
MatchBox Consulting Group is currently seeking a Senior Data Engineer for a 6 month contract role with a client of ours located in Vancouver.
Added 5 hours ago
Platform Engineer - AI/ML Infrastructure
K&K Global Talent Solutions INC.
Toronto, ON
$110,000 to $120,000 CAD / year
Full-time
Position: Platform Engineer - AI/ML Infrastructure
Added 6 hours ago
SRE Observability Engineer
Iris Software Inc.
Halifax, NS
Contract
Site Reliability Engineer, Observability Engineer - Work with cloud-native open-source tools to improve the visibility and reliability of self-hosted Kubernetes platform.
Added 6 hours ago
Platform Engineer - AI/ML Infrastructure
Tata Consultancy Services
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
Were seeking a skilled Platform Engineer to deploy and manage our AI/ML infrastructure, e.g LlamaIndex Cloud and KDB.AI applications on Kubernetes Platform.
Added 7 hours ago
Platform Engineer - AI/ML Infrastructure
Zodiac Solutions, Inc
Toronto, ON
Full-time
Were seeking a skilled Platform Engineer to deploy and manage our AI/ML infrastructure, e.g LlamaIndex Cloud and KDB.AI applications on Kubernetes Platform.
Added 7 hours ago
Senior Machine Learning Systems Engineer (CAD)
PointClickCare
Mississauga, ON
Full-time
The Senior Machine Learning Systems Engineer will work closely with the Product and Engineering teams to design, build, and operate the machine learning platform that enables teams across…
Added 8 hours ago
Senior Machine Learning Systems Engineer (CAD)
PointClickCare
Mississauga, ON
$154,000 to $193,000 CAD / year
Full-time
The Senior Machine Learning Systems Engineer will work closely with the Product and Engineering teams to design, build, and operate the machine learning platform that enables teams across…
Added 12 hours ago
Principal AI/ML Engineer
lululemon
Vancouver, BC
Full-time
As a Principal AI/ML Engineer, you will define and drive implementation approaches for enterprise-scale AI initiatives that transform how lululemon operates and delivers value. You will…
Added 12 hours ago
AI/ML Engineer
lululemon
Vancouver, BC
Full-time
As an AI/ML Engineer, you will contribute to the design and implementation of AI/ML systems across the full model lifecycle from dataset curation, feature engineering, and model training…
Added 15 hours ago
Associate Software Engineer (Winter 2027)
AltaML
Toronto, ON
Full-time
As an Associate Software Engineer you’ll play a hands-on role in building and scaling our agentic platform - an intelligent, adaptive system designed to automate workflows and power smarter…
Added 20 hours ago
AI Engineer
GEI Consultants, Inc.
Kitchener, ON
Full-time
The AI Engineer plays a hands-on role in active AI Solutions Factory use cases by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability…
Added 21 hours ago
Staff Software Engineer, Inference API
Cerebras Systems
Remote, Canada
Full-time · Remote
We are hiring a Software Engineer to build and evolve the ML API layer that makes this heterogeneous serving system accessible, reliable, and easy to use. You will work across our inference…
Added 21 hours ago
Principal Software Development Engineer - AI Platform
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
…world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on…
Added 21 hours ago
Sr. Software Development Engineer / Principal, Software Development Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
As either a Senior Software Development Engineer or a Principal Software Development Engineer on the AI Model Serving team, you will be a technical leader who helps shape the vision and…
Added 23 hours ago
AI DevOps Specialist (AI Enablement & Secure DevOps)
Celestica International LP
Toronto, ON
This specialist will bridge the gap between AI development pipelines, secure networking infrastructure, and cloud platform services. They will take a hands-on lead in configuring…
Added 23 hours ago
Senior Security Engineer - Identity and Access Management
Marqeta
Remote, Canada
Full-time · Remote
We’re seeking an experienced Senior Security Engineer with a strong passion for Identity and Access Management (IAM) and proven expertise in cloud-native environments, particularly AWS. In…
Added 23 hours ago
Associate Software Engineer (Winter 2027)
AltaML
Toronto, ON
Full-time
As an Associate Software Engineer you’ll play a hands-on role in building and scaling our agentic platform - an intelligent, adaptive system designed to automate workflows and power smarter…

Sun Life

Senior AI Engineer

Toronto, ON, Canada
Waterloo, ON, Canada
Sun Life Toronto Atria, Canada

Job type: Full-time
Apply by: Sep 30, 2026
Experience: 5+ years of professional software engineering experience, including 3+ years building and operating solutions on AWS.
Posting language: English
Posted: Sep 22, 2026

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Original job description

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. 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. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do.

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.

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.

Job Description:

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.

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.
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.

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.

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

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.

The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. 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. Certain sales focused roles have sales incentive plans based on individual or group sales results.

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 [email protected].

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.

Salary Range:

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

Job Category:

IT - Application Development

Posting End Date:

29/09/2026

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More about this job

Responsibilities

The Senior AI Engineer will design, develop, and deploy enterprise-grade AI, Machine Learning, and Generative AI solutions on AWS. This role involves collaborating with cross-functional teams to build scalable, secure, and production-ready applications including RAG pipelines and intelligent agents.

Requirements

Candidates must have a bachelor's degree in a technical field and at least 5 years of professional software engineering experience, including 3 years on AWS. Proficiency in Python, AWS AI/ML services, and experience taking complex AI solutions from design to production are required.

Skills

Python
AWS
Generative AI
Machine Learning
Amazon Bedrock
RAG
Prompt Engineering
Intelligent Agents
AWS Lambda
Terraform
CI/CD
Docker
Kubernetes
API Gateway
Software Engineering
Cloud Architecture

Benefits

Wellness programs
Mental health support
Financial health support
Physical health support
Career development opportunities
Networking potential

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Generative AI
AWS
Amazon Bedrock
Python
RAG
Serverless
Containerization
Terraform
CI/CD
AWS Lambda
Amazon S3
Amazon DynamoDB
Amazon Aurora
IAM
KMS
Agile
Software Engineering
Data Science
Vector Databases
Prompt Engineering
Intelligent Agents
Infrastructure as Code
MLOps
Amazon SageMaker
PostgreSQL
Docker
Amazon ECS
Amazon EKS

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