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Added 1 hour ago
T
Director, Data Platform Engineering
TD
Toronto, ON
- Full-time
You will lead high-performing engineering teams responsible for building secure, scalable, and resilient data solutions while establishing modern engineering practices, platform standards,…
Added 1 hour ago
L
Senior Forward Deployment Engineer
Luxoft
Mississauga, ON
- Full-time
The Expert FDE is expected to lead complex engagements, work directly with development and client stakeholders, define the technical remediation approach, implement critical changes…
Added 1 hour ago
PS
Senior Business Analyst
Persistent Systems
Halifax, NS
- Full-time
We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what's…
Added 1 hour ago
MT
Manufacturing Engineer
Modern Technical Staffing Inc.
Vaughan, ON
- $80,000 to $100,000 CAD / year
- Full-time
Lead issue resolution discussions with both internal teams and external partners, ensuring follow through and timely closure of action items.
Added 1 hour ago
Project Planner
EBC Inc.
ON · Ottawa (The Glebe / Ottawa South / Ottawa East), Ontario
Develop cash flow curves and lead the implementation of Earned Value Management (EVM) within Primavera P6.
Added 2 hours ago
AC
Spécialiste Approvisionnement | Procurement Specialist
Aston Carter
Quebec, QC
- Full-time
Support commercial negotiations on pricing, lead times, service levels, and terms.
Added 2 hours ago
AC
Planificateur Logistique | Logistics Planner
Aston Carter
Laval, QC
- Full-time
Escalate late supplier deliveries to the Team Lead when required.
Added 2 hours ago
R
Senior Hardware Design Engineer
Ranovus
Ottawa, ON
- Full-time
Participate in component engineering including component selection, coding, and review.
Added 3 hours ago
'
Forward Deployment Engineer Lead- Commercial
''
Toronto, ON
- Full-time
- Other
The FDE Commercial Lead is part of McCain’s Artificial Intelligence organization and reports to the FDE Practice Manager. This individual contributor role leads the Portfolio FDE talent…
Added 3 hours ago
MC
Technical Lead Data
MMC Corporate
Toronto, ON
- Other
This is a hands-on leadership role. You lead a squad of data engineers and you also build things yourself. You're the person who can whiteboard a data model in the morning, pair with an…
Added 3 hours ago
J
Onboarding Engineer
Jobgether
Canada
- Full-time
We are seeking an Onboarding Engineer to lead the technical implementation and coordination of customer onboarding in a fast-growing SaaS environment. This role combines hands-on…
Added 3 hours ago
Machine Learning Engineer, Associate Director
Fitch Group
Toronto, ON
Drive breakthrough AI innovation and experimentation boldly – Lead exploration of generative AI, multi-agent systems, RAG architectures, model fine-tuning, prompt engineering, and other…
Added 4 hours ago
EI
Automation Specialist
Ecolab Inc.
Calgary, AB
- Full-time
…programming, and industrial control systems. Working closely with Engineering, Production, and Maintenance teams, the Automation Specialist supports both new equipment integration and…
Added 4 hours ago
RB
Lead Data Scientist - AI
Royal Bank of Canada
Toronto, ON
- Full-time
…businesses. We are looking to hire a seasoned Data Scientist to lead our AI development efforts. The role will be responsible for applying modern AI and data science techniques to deliver…
Added 4 hours ago
SP
Technical Architect Director - PubSec - Mulesoft Canada
Salesforce Partner Canada
Toronto, ON
- Full-time
executives at the CxO level, and lead the delivery of a governed, AI-ready data foundation across a progressive, customer-calibrated maturity journey. You are the definitive authority on…
Added 4 hours ago
GD
Production Manager
General Dynamics Missions System International
Ottawa, ON
- Full-time
You will guide and lead in a dynamic team environment, interacting with teams across the organization such as Planning, Manufacturing and Test Engineering, Engineering, Supply Chain…
Added 4 hours ago
D&
Senior Cost Manager - Project Controls - Calgary, AB
Dokainish & Company
Calgary, AB
- Full-time
The Senior Cost Manager will lead cost management, estimating, and change control activities embedded within a major client's project environment. This role is central to maintaining…
Added 4 hours ago
LT
Senior Hardware Engineer
LMI Technologies
Burnaby, BC
- $108,000 to $153,000 CAD / year
- Full-time
LMI is seeking a talented Senior Hardware (FPGA) engineer to join a multi-disciplinary engineering team. The successful candidate will have a proven record in developing complex FPGA code…
Added 5 hours ago
GD
Business Development Manager, Tactical Comms and Information Systems
General Dynamics Missions System International
Ottawa, ON
- Full-time
At General Dynamics Mission Systems–Canada, our focus extends beyond engineering technology solutions - we are dedicated to cultivating careers. If you seek a purpose-driven career solving…
Added 5 hours ago
GD
Junior Hardware Engineering Developer
General Dynamics Missions System International
Ottawa, ON
- Full-time
At General Dynamics Mission Systems–Canada, we’re not just engineering technology - we’re shaping the future of defence and security. Our teams design and deliver advanced, mission-critical…
Added 5 hours ago
GD
Life Cycle Material Engineering Specialist
General Dynamics Missions System International
Ottawa, ON
- Full-time
At General Dynamics Mission Systems–Canada, we’re not just engineering technology - we’re shaping the future of defence and security. Our teams design and deliver advanced, mission-critical…
Added 5 hours ago
D
Senior C++ Engineer
DuckDuckGo
Remote, Canada
- $178,500 USD / year
- Full-time
- Remote
Ability to lead and collaborate on high-impact, complex projects from proposal through post-mortem
Added 5 hours ago
P
Principal Software Engineer
Photon-IV
Canada
- Full-time
You will be the technical lead for Photon-IV's satellite systems software. You will own the architecture that connects our prediction engine to LEO, MEO and GEO satellite links and to 3GPP…
Added 5 hours ago
AI
Senior Mechanical Designer
ATS Industrial Automation
Cambridge, ON
- Full-time
Perform engineering calculations with respect to strength of materials, speeds, horsepower, temperature, pressure, force, etc. as related to machine and tool designs.
Added 5 hours ago
Senior Software Engineer, International
Robinhood
Toronto, ON
…security, availability, and compliance. In this role, you will lead complex technical designs, raise the engineering bar across the stack, and collaborate side-by-side with product…

Sun Life

Lead AI Engineer

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

Full-time

Apply About employer

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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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