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Added 1 hour ago
KC
Director, AI Engineering
KPMG Canada
Toronto, ON
- Full-time
Minimum eight years of recent experience in AI/ML, data analytics, and cloud technology, including leadership roles in Banking and Capital Markets consulting
Added 1 hour ago
M
Senior Security Engineer, Detection and Response
Marqeta
Remote, Canada
- Full-time
- Remote
As Marqeta's Senior Security Engineer on the Security Operations and Response team, you will lead incident response for North America and shape how we detect and respond to threats using…
Added 2 hours ago
N
Senior Systems Engineer (Kafka)
Nubank
Remote, Canada
- Full-time
- Remote
We are looking for an experienced software engineer to help evolve and operate Nubank’s messaging platform and the infrastructure that supports asynchronous communication at scale.
Added 3 hours ago
UO
Process Engineer Intern
University of Alaska Fairbanks Petroleum Engineering
Engineer, BC
- Internship
Added 3 hours ago
A
QA Automation Engineer - AI Solutions
Affinity
Vancouver, BC
- Contract
On behalf of our client, Affinity is seeking an experienced QA Automation Engineer – AI Solutions to support the testing and quality assurance of a growing portfolio of AI-enabled…
Added 3 hours ago
P
Member of Technical Staff (Software Engineer, API Platform)
Perplexity
Toronto, ON
- $220,000 to $405,000 USD / year
- Full-time
Unify cross-cutting capabilities (billing and usage, rate limiting, organization and identity settings, analytics and observability) so every API product gets them by default instead of…
Added 4 hours ago
W
Test Automation Engineer - ETL
Wipro
Toronto, ON
- Full-time
We are looking for a highly motivated 6-8 years of ETL Test Automation Engineer with strong expertise in Azure Data Factory (ADF), Azure Databricks, Python, SQL, and ETL Testing.
Added 4 hours ago
UO
Process Engineer Intern
University of Alaska Fairbanks Petroleum Engineering
Engineer, BC
- Internship
Added 4 hours ago
S1
Full-Stack Machine Learning Engineer
Signal 1
Toronto, ON
- Full-time
Added 4 hours ago
LI
Sr. Data Engineer
Livingston International
Toronto, ON
- Full-time
…and optimize that movement. We're looking for a Senior Data Engineer to design, build, and scale the data infrastructure that powers logistics operations, and executive decision-making. The…
Added 4 hours ago
TI
Senior Data Developer
TS Imagine
Montreal, QC
- Full-time
As a Senior Data Engineer, you will own production data systems built with Snowflake, dbt, SQL, and Python. You will help modernize established pipelines, improve the platform’s shared…
Added 4 hours ago
PROJECT MANAGER TRANSPORTATION SERVICES
City of Toronto
Toronto, ON
Added 4 hours ago
HT
Applications Engineer
Husky Technologies
Bolton, ON
- Full-time
Apply a data-driven, first-principles approach, leveraging scientific modeling, experimentation, and advanced analytics to understand, predict, and optimize complex physical phenomena.
Added 5 hours ago
FC
Senior Workday Functional Specialist
Fanshawe College
London, ON
- Full-time
Added 7 hours ago
U
Software Engineer II - Engineer
Uber
Toronto, ON
- Full-time
As a Backend Software Engineer on the team, you'll build the services and APIs behind these experiences. You'll work alongside backend, mobile, and machine learning engineers, as well as…
Added 7 hours ago
L
QA Engineer
LTM
ON · Ontario, Canada
- $120,000 to $130,000 USD / year
- Full-time
Seeking an experienced QA Engineer to ensure seamless and accurate database migration from DB2 LUW to Amazon Aurora PostgreSQL on AWS cloud
Added 7 hours ago
TT
Staff Software Engineer, AI Foundations (AI Agent Optimization)
Temporal Technologies
Canada
- Full-time
We have an opening to hire a Staff Software Engineer - Agent Optimization
Added 7 hours ago
Program Director
Lightworks
Toronto, ON
…or enterprise architecture. You do not need to be a hands-on engineer, but you must understand what your engineers are telling…
Added 8 hours ago
KG
Reliability Engineer
Kinross Gold Corporation
Toronto, ON
- Full-time
The Fixed Plant Asset Reliability Engineer, as part of the Asset Management team, plays a vital role in enhancing the reliability, performance, and life cycle management of critical…
Added 8 hours ago
FT
Senior Workday Functional Specialist
Fanshawe Toronto@ILAC
London, ON
- Full-time
Added 8 hours ago
A
Technical Support Engineer
Airbyte
Remote, Canada
- $89,000 to $105,000 CAD / year
- Full-time
- Remote
…count on when things get complicated? As a Technical Support Engineer at Airbyte, you'll bring together deep technical expertise and genuine customer empathy to support our growing cloud…
Added 10 hours ago
M
Senior AI Engineer, Big Data & AI Solutions
Mastercard
Vancouver, BC
- Full-time
As a Senior AI Engineer, you will work at the intersection of AI engineering and big data engineering, helping improve the models, data assets, and operational processes that power fraud…
Added 10 hours ago
EB
AI Solutions Engineer, Technology Workplace Services
EQ Bank | Canada's Challenger Bank
Toronto, ON
- Full-time
The Technology Workplace Services AI Solutions Engineer identifies, designs, builds, governs, and improves AI-enabled and automated solutions that strengthen TWS service delivery, employee…
Added 10 hours ago
GC
AI Engineer
GEI Consultants, Inc.
Vaughan, ON
- $110,000 to $150,000 CAD / year
- Full-time
The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained models and copilots, to support GEI’s priority digital and AI initiatives. This role…
Added 10 hours ago
HT
Applications Engineer
Husky Technologies
Bolton, ON
- Full-time
Apply a data-driven, first-principles approach, leveraging scientific modeling, experimentation, and advanced analytics to understand, predict, and optimize complex physical phenomena.

AI and Data - Manager - AI Engineer

AB, Canada
Calgary, AB, T2P 1M4, Canada

Salary Range: $110,000 to $160,000

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Job details

Pay: Salary Range: $110,000 to $160,000
Apply by: Jan 10, 2027
Experience: 5-8+ years of AI development experience, with at least 2 years focused on building and maintaining production grade AI/ML or agentic AI solutions.
Posting language: English
Posted: Oct 15, 2026

Original job description

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

As AI Engineer, you will design and build production-grade AI and agentic AI solutions that solve real business problems for EY's clients. You are the core builder on the delivery team, responsible for AI/ML pipelines, agentic workflows, multi-agent coordination, evaluation frameworks, observability and governance that ensure AI solutions work in production.

The opportunity

You will work across complex client engagements designing and implementing AI/ML and agentic AI solutions end to end. You will work closely with business stakeholders, AI Architect, AI Platform Engineers, and Data Scientists to translate complex business challenges into practical, scalable, and responsible AI solutions through maintainable architectural. You will have the opportunity to influence executive stakeholders and help clients responsibly adopt agentic AI to drive measurable business outcomes.

This job posting relates to an existing vacancy within our organization.

Your key responsibilities

Design and implement production-grade agentic AI workflows using open frameworks such as LangGraph, CrewAI, proprietary cloud-based agentic platforms, including agent orchestration, AI gateways (i.e. MCP, A2A), observability, controls and guardrails.
Build and optimise retrieval pipelines for Retrieval Augmented Generation (RAG) and agentic workflows, including chunking strategies, embedding models, vector store integration, and re-ranking to ground agent outputs in accurate, current enterprise data.
Develop and integrate Generative/Agentic AI solutions using large and small language models (LLMs and SLMs).
Build evaluation frameworks to measure AI solution quality, consistency, and implement telemetry and monitoring to track model drift, latency, output quality, and cost metrics in production.
Leverage machine learning/deep learning algorithms and foundational statistical concepts to solve real-world AI/ML problems at scale
Implement best practices for MLOps, LLMOps, across experimental and production environments, including AI pipeline and microservices deployment into cloud environments, APIs, CI/CD, ensuring high availability and low latency.
Build AI governance and responsible AI controls for AI systems
Mentor junior team members and contribute to EY AI assets, accelerators, delivery standards, and go-to-market offerings in AI/ML, agentic and generative AI

Skills and attributes for success

Deep experience designing and building agentic AI systems in enterprise environments.
Analytical mindset to troubleshoot AI-specific failure modes, model hallucinations, retrieval gaps, context overflow, agent looping, and system latency and engineer reliable solutions around them.
Experience with AI governance, model risk management, and regulatory considerations in complex or regulated industries.
Adapts quickly to fast-moving environments with frequent updates in AI frameworks, agentic tool patterns, LLM capabilities, and cloud platform services

To qualify for the role, you must have

A degree in Computer Science, Data Science, Engineering or related technical discipline (MSc/PhD is an advantage).
5-8+ years of AI development experience, with at least 2 years focused on building and maintaining production grade AI/ML or agentic AI solutions.
Hands-on experience in developing machine learning and deep learning algorithms at scale
Deep experience working with AI/ML libraries and frameworks
Understanding of foundational statistics and mathematical modeling
Advanced object-oriented coding skills in Python for production-level codebases. Familiarity with Java, TypeScript/JavaScript is a plus.
Hands-on experience building and deploying AI agents and AI/ML solutions.
Hands-on experience with containerisation (Docker, Kubernetes), CI/CD pipelines, and version control for AI systems; working knowledge of LLM observability and monitoring tools.
Experience in API integration and development.
Consulting or professional services experience is strongly preferred.

What we look for

We’re interested in passionate leaders with a strong vision and a desire to stay on top of trends in the IT Advisory space. If you have a strong passion for helping businesses achieve their IT strategy, this role is for you.

What we offer

We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage, both pension and 401(k) plans, a minimum of 15 days of vacation plus ten observed holidays and three paid personal days, and a range of programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

The opportunity to manage a portfolio of talent within a designated service line
A collaborative environment where everyone works together to create a better working world
Excellent training and development prospects, both through established programs and on-the-job training
An excellent team of senior colleagues, dedicated to managing and varying your workload

EY reports salary ranges in accordance with applicable provincial pay transparency legislation. Individual salaries within the anticipated salary ranges noted below are determined through a wide variety of factors including but not limited to internal equity, education, relevant experience, knowledge, and applicable skill sets.

Salary Range: $110,000 to $160,000

Inclusiveness at EY

Inclusiveness is at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. We embrace diversity and are committed to combating systemic racism, advancing gender equity and women in leadership, advocating for the 2SLGBTQIA+ community, promoting our neuroinclusion and accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation. Our diverse experiences, abilities, backgrounds, and perspectives make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

Learn about our commitment to Inclusiveness at https://www.ey.com/en_ca/about-us/corporate-responsibility/equity

EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, we use artificial intelligence (AI) tools as one element of our recruitment process to enhance efficiency and improve the candidate experience. While AI supports us in our process, human judgment and decision-making remain integral in our candidate experience. We are committed to the responsible use of AI, and our practices are continuously reviewed and refined to ensure they align with the highest ethical principles and regulatory requirements.

To all recruitment agencies: EY does not accept unsolicited resumes from recruitment agencies. Any resumes submitted without a prior agreement or request from our hiring team will not be considered. EY is not responsible for any fees related to unsolicited resumes.

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More about this job

Responsibilities

Design and implement production-grade agentic AI workflows and AI/ML pipelines to solve complex business problems. Collaborate with cross-functional teams to ensure AI solutions are scalable, responsible, and effectively monitored in production environments.

Requirements

Requires 5-8+ years of AI development experience with a strong background in building production-grade AI/ML or agentic AI solutions. Candidates must possess advanced Python coding skills and a degree in Computer Science, Data Science, Engineering, or a related technical field.

Skills

AI engineering
Agentic AI
Python
Machine learning
Deep learning
LLMOps
MLOps
RAG
LangGraph
CrewAI
Cloud computing
CI/CD
Containerization
API development
AI governance
Statistical modeling

Benefits

Medical coverage
Dental coverage
Pension plan
401(k) plan
Paid vacation
Paid personal days
Training and development programs

Visa sponsorship

Not detected in the job text

Keywords

AI
Data Science
Agentic AI
LLM
SLM
RAG
LangGraph
CrewAI
Python
Java
TypeScript
JavaScript
Docker
Kubernetes
CI/CD
MLOps
LLMOps
AI Governance
Cloud Platforms
API
Consulting
Statistical Modeling
Deep Learning
Machine Learning
Observability
Telemetry
Vector Store
Embedding Models
AI Architect
IT Advisory

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