AI Engineer jobs in Winnipeg

Sequoia Technologies

Location: Remote / Hybrid / On-site Employment Type: Full-Time About the Role Sequoia Technologies is seeking an innovative AI Engineer to design, develop, and deploy intelligent AI solutions for businesses across various industries. You will work directly with clients and internal teams to implemen

Sun Life

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 a

E+E Consulting

Ayata seeks a Senior AI Engineer to design and build AI-powered solutions for understanding, transforming, migrating, and improving software systems and codebases. This hands-on role blends applied AI, software engineering, and cloud delivery. The ideal candidate has 5–10 years in software/AI, a MSc

Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Engineer, Marketing based in Canada. Join a technology-driven team building the next generation of AI-powered marketing infrastructure. In this role, you will s

Trojan Technologies

Imagine yourself building AI solutions that do more than demonstrate what is possible. They solve meaningful business problems, improve how teams work, and support technologies that help protect one of the world's most critical resources: water. Role Overview At Trojan Technologies, we’re looking fo

Encore Technical Solutions Inc.

We're hiring: AI Engineer | Downtown Toronto (Hybrid) | Full-Time A well-established global financial services company is expanding its enterprise AI platform. It's hiring a Senior AI Engineer to join a small, hands-on team. You'll design, ship and run production LLM services used by teams across th

GEI Consultants, Inc.

Build secure Generative AI solutions in Markham with Python, Azure, and pretrained models supporting GEI’s digital initiatives. Integrate AI into business workflows. As an AI Engineer, you will develop, deploy, and integrate AI capabilities using Large Language Models, Copilot technologies, Azure Fu

E+E Consulting

About Ayata develops AI-powered software for complex industry problems. We are looking for a Senior AI Engineer to design and build solutions that use AI to understand, transform, migrate, and improve software systems and codebases. This is a hands-on role combining applied AI, software engineering,

Trojan Technologies

Responsibilities include expanding AI capabilities across platforms, maintaining data pipelines and model infrastructure, and ensuring reliable, production-ready deployments. The role requires 5+ years of engineering experience, strong Python, and experience integrating leading LLMs.

FGL Sports

What You’ll Do: We are seeking a highly technical and hands‑on ML/AI Engineer to take end‑to‑end ownership of one of CTC’s strategic customer intelligence platforms. The platform combines machine learning, generative AI and large‑scale transaction data to identify customer shopping missions and beha

Trojan Technologies

Imagine yourself... Building AI solutions that do more than demonstrate what is possible. They solve meaningful business problems, improve how teams work, and support technologies that help protect one of the world's most critical resources: water. Imagine yourself... Building AI solutions that do m

EY

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 exper

GEI Consultants, Inc.

Location: Markham, ON, Canada Date Posted: Nov 9, 2026 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 focuses on building, deploying, and integrating AI capabilit

Ultrassure

Ultrassure is building the AI operating system for insurance and reinsurance, from submission to settlement. Our platform is trusted by insurers, MGAs, brokers, and reinsurers processing $10B of platform premium across Canada, the United States, the Caribbean, and the United Kingdom. We've raised a

EY

Build production-grade agentic AI systems at EY in Toronto, using LangGraph, CrewAI, AI/ML pipelines, and enterprise retrieval technologies. Work across complex client engagements. As an AI Engineer, you will design and implement end-to-end AI/ML and agentic AI solutions for EY clients. You will col

Royal Bank of Canada

Lead hands-on full stack engineering for AI Engineering, modernizing .NET applications and applying agentic tools across RBC US Functions Technology. This leadership role spans Finance, Risk, Law, and Audit within US Functions Technology. You will build and inspire engineers while delivering product

Ultrassure

Build contract intelligence with Python, LLM APIs, and RAG pipelines at Ultrassure’s Toronto office, working onsite three days weekly. As an AI Engineer, you will own Ultrassure’s intelligence layer for complex insurance documents. You will design prompt chains, retrieval systems, document parsing,

Thomson Reuters

Thomson Reuters is seeking a Senior Legal Engineer to design, build, and deploy AI-powered software for legal workflows. You will work with legal customers and cross-functional teams to translate real-world needs into secure, scalable solutions while advancing our cloud-native architecture. You will

Sun Life

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 a

Trojan Technologies

Responsibilities include expanding AI capabilities across platforms, maintaining data pipelines and model infrastructure, and ensuring reliable, production-ready deployments. The role requires 5+ years of engineering experience, strong Python, and experience integrating leading LLMs.