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Added 54 mins ago
L
Senior Forward Deployment Engineer
Luxoft
Mississauga, ON
- Full-time
Added 57 mins ago
CE
Staff Discipline Facilities Engineer (ICE)
Cenovus Energy
Calgary, AB
- Full-time
…equipment into Cenovus's existing industrial automation systems and infrastructure and delivers these changes through the Management of Change (MOC) process. The ICE engineer will…
Added 1 hour ago
P
Cloud Security Engineer
Paymentus
Richmond Hill, ON
- Full-time
The Cloud Security Engineer is responsible for helping secure the cloud-native infrastructure, platforms, services, and deployment patterns that support the Paymentus SaaS platform. This…
Added 1 hour ago
Software Escalation Engineer (Python)
Varonis
Canada
The Role: We are searching for a highly motivated Escalation Engineer (Tier-IV) to join our growing team! The Escalation Engineer must learn fast and adopt to quickly changing technology…
Added 2 hours ago
L
Senior QA Engineer
Luxoft
Toronto, ON
- Contract
…classes, including public equity, private equity, real estate, infrastructure and fixed-income…
Added 2 hours ago
MC
Technical Lead Data
MMC Corporate
Toronto, ON
- Other
…who can whiteboard a data model in the morning, pair with an engineer on a tricky pipeline in the afternoon, and present a delivery plan to a business stakeholder before end of day. You…
Added 2 hours ago
MN
Project Manager
Matchtech North America
Toronto, ON · Greater Toronto Area, Canada
- Contract
7+ years' project management experience within construction, engineering, or infrastructure environments.
Added 2 hours ago
Machine Learning Engineer, Associate Director
Fitch Group
Toronto, ON
Machine Learning Engineer, Associate Director – AI Innovation Teams
Added 5 hours ago
EI
Field Service Engineer
Ecolab Inc.
Calgary, AB
- Full-time
The Field Service Engineer supports customers globally and reports to the Manager, Field Service Operations. The Field Service Engineer is responsible for aspects of deployments,…
Added 5 hours ago
WW
AI / Data Engineer
White Widget
MB · Back, MB
- Full-time
Each engineer in White Widget takes responsibility over their code and projects. We endeavor to create code that’s clean with legibility, reusability, testability, and maintainability in…
Added 5 hours ago
Q
Devops Engineer
Qorsa
Waterloo, ON
- Full-time
We are hiring a DevOps Engineer to run the build, release and deployment infrastructure for CasQade, our crypto-agile post-quantum platform, and for our AI applications. Our components ship…
Added 5 hours ago
RC
Data Path Engineer
Ribbon Communications
Ottawa, ON
- Full-time
…network solutions to service providers, enterprises, and critical infrastructure sectors. We engage deeply with our customers, helping them modernize their networks for improved competitive…
Added 6 hours ago
Q
Full Stack Software Engineer
Qorsa
Waterloo, ON
- Full-time
…protecting sovereign government, defence, financial, and critical-infrastructure networks against current and emerging cryptographic threats. We are headquartered in Waterloo, Ontario, with…
Added 6 hours ago
Q
Cryptography Engineer
Qorsa
Waterloo, ON
- Full-time
…protecting sovereign government, defence, financial, and critical-infrastructure networks against current and emerging cryptographic threats. We are headquartered in Waterloo, Ontario, with…
Added 7 hours ago
LS
Intermediate Mechanical Engineer
Lauren Services
Calgary, AB
- Contract
We are seeking a highly motivated Intermediate Mechanical Engineer with strong experience in mechanical engineering and design, particularly within the midstream energy, industrial, or…
Added 7 hours ago
O
ASIC Engineer
O-HIVE.AI
Windsor, ON
- Full-time
…to reduce dependence on data centers and external computing infrastructure while improving latency, power efficiency, reliability, and deployment…
Added 7 hours ago
AE
Environmental Planner
Associated Engineering
Calgary, AB
- Full-time
Identify regulatory requirements and advise on environmental risk management on a diversity of public infrastructure projects.
Added 7 hours ago
LS
Project Engineer
Lauren Services
Calgary, AB
- Contract
Lauren Services is seeking a Senior Project Engineer, Facilities (P.Eng.) to lead the technical delivery of complex brownfield and greenfield industrial facility projects. This role is…
Added 7 hours ago
LS
Senior Project Engineer - Pipeline
Lauren Services
Calgary, AB
- Contract
Lauren Services is seeking a Senior Project Engineer, Pipelines (P.Eng.) to support and lead the technical execution of major pipeline projects across North America. This is a senior…
Added 7 hours ago
VR
Senior Specialist, Host Railway Management
VIA Rail Canada
Montreal, QC
- Full-time
Did you know that VIA Rail is carrying out ambitious projects to modernize its services and infrastructure? From our new ultramodern train fleet to ongoing improvement of our…
Added 7 hours ago
ES
BI Platform Operations Engineer
EPAM Systems
Toronto, ON
- Full-time
We are looking for a hands-on BI Platform Operations Engineer to provide production operational support, administration, maintenance, and technical troubleshooting for our enterprise…
Added 7 hours ago
SI
IT Architect, Infrastructure – IT/OT Integration
Saputo Inc.
Mississauga, ON
- Full-time
Saputo is seeking a IT Architect, Infrastructure – IT/OT Integration who is hands-on technical leader responsible for the design, implementation, and optimisation of enterprise network,…
Added 7 hours ago
GC
Intermediate/Senior Infrastructure Planning / Hydraulic Modeler
GEI Consultants, Inc.
Barrie, ON
- $85,000 to $110,000 CAD / year
- Full-time
Are you ready to take the lead on complex water infrastructure projects that shape the future of our communities? At GEI Consultants, we’re looking for an Intermediate to Senior Water…
Added 7 hours ago
GC
Engineer or Engineer in Training, MechanicalNew
Glencore Canada
Elkford, BC
- $91,300 to $126,800 CAD / year
- Full-time
Reporting to Senior Engineer, Maintenance, the Engineer / EIT, Mechanical is responsible
Added 7 hours ago
GC
Engineer, MechanicalNew
Glencore Canada
Sparwood, BC
- $108,000 to $145,000 CAD / year
- Full-time
Reporting to the Senior Engineer Supervisor, the Engineer, Mechanical, Water Operations, is focused on design, troubleshooting and optimization of water treatment facilities in the Elk…

Sun Life

Lead AI Engineer

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

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Oct 22, 2026
Experience: 7+ years of professional software engineering experience, including 5+ years building and operating solutions on AWS.
Posting language: English
Posted: Oct 14, 2026

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 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. 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.
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.

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.
A relevant AWS certification.
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 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.

Salary Range:

100,000/100 000 - 143,000/143 000

Job Category:

IT - Application Development

Posting End Date:

21/10/2026

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More about this job

Responsibilities

Design, develop, and deploy enterprise-grade AI, Machine Learning, and Generative AI solutions on AWS. Collaborate with cross-functional teams to build scalable, secure, and production-ready applications including RAG pipelines and intelligent agents.

Requirements

Requires a bachelor's degree in computer science or related field and 7+ years of professional software engineering experience. Candidates must have at least 5 years of experience operating on AWS and hands-on expertise in AI/ML production environments.

Skills

Artificial Intelligence
Machine Learning
Generative AI
AWS
Python
Amazon Bedrock
RAG
Prompt Engineering
Software Engineering
Cloud Computing
CI/CD
Infrastructure as Code
API Development
Data Engineering
System Architecture
Agile

Benefits

Wellness programs
Career development opportunities
Networking potential
Hybrid work flexibility

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Generative AI
AWS
Amazon Bedrock
Python
RAG
Cloud Computing
Serverless
Containerization
Docker
Kubernetes
Terraform
CI/CD
API Gateway
DynamoDB
Aurora
IAM
KMS
Agile
Software Engineering
Data Engineering
Prompt Engineering
MLOps
Vector Databases
Infrastructure as Code
RESTful APIs
Event-driven architecture
Security Governance
Performance Optimization

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