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Generative Ai Engineer Intern Jobs in Edmonton, AB

SIA

Applied AI Lead - Edmonton

Edmonton, AB

Work directly with client engineering, data, and IT/OT teams to understand system constraints and ... Hands-on experience building with Generative AI: LLMs, AI agents, copilots, retrieval-augmented ...

Finning

Senior Full Stack Developer

Edmonton, AB · Hybrid

Utilize generative AI, code assistants, agentic workflows, and prompt engineering techniques to accelerate development lifecycle activities * Rapidly prototype and validate business concepts through ...

All JobsGenerative Ai Engineer Intern JobsGenerative Ai Engineer Intern Jobs in Edmonton, AB

Generative Ai Engineer Intern information

What does a generative AI engineer intern do?

A Generative AI Engineer Intern assists in developing and testing machine learning models, specifically those that can create new content such as text, images, or audio. They work with frameworks like TensorFlow or PyTorch, collaborate with senior engineers, and help improve the performance and reliability of generative AI systems. Interns may also be involved in data preprocessing, model evaluation, and keeping up with the latest research in artificial intelligence.

What skills and qualifications are needed to thrive as a generative AI engineer intern?

To thrive as a Generative AI Engineer Intern, you need a solid understanding of machine learning fundamentals, programming skills (especially in Python), and coursework or experience in artificial intelligence or computer science. Familiarity with deep learning frameworks like TensorFlow or PyTorch and version control systems such as Git is typically required, and relevant coursework or certifications in AI/ML are advantageous. Strong problem-solving skills, curiosity, and the ability to communicate complex ideas clearly help interns stand out. These skills and qualities are crucial for quickly learning advanced AI techniques, contributing to team projects, and driving innovation in a rapidly evolving field.

What types of projects can a generative AI engineer intern expect to work on during their internship?

As a Generative AI Engineer Intern, you can expect to work on projects involving the development, training, and evaluation of generative models such as GANs, VAEs, or transformer-based architectures. Typical tasks may include data preprocessing, model implementation, fine-tuning, and running experiments to improve model performance. Interns often collaborate closely with data scientists, software engineers, and research teams, gaining exposure to both research and application of AI in real-world products. This role provides hands-on experience with state-of-the-art tools and frameworks, offering a valuable foundation for a future career in AI engineering or research.

What is the difference between Generative Ai Engineer Intern vs Machine Learning Engineer Intern?

AspectGenerative Ai Engineer InternMachine Learning Engineer Intern
Required CredentialsBasic knowledge of AI, programming, and some coursework in machine learning or AIStrong foundation in machine learning, programming, and data analysis, often with coursework or certifications
Work EnvironmentTech companies, startups, research labs focusing on AI applicationsTech firms, research institutions, and companies applying machine learning models
Industry UsageDeveloping generative models like GPT, DALL·E, and similar AI toolsBuilding predictive models, data pipelines, and machine learning algorithms

While both roles involve AI and machine learning, a Generative Ai Engineer Intern focuses specifically on creating generative models like text, images, or audio, whereas a Machine Learning Engineer Intern works broadly on developing and deploying various machine learning algorithms across different applications.

What are popular job titles related to Generative Ai Engineer Intern jobs in Edmonton, AB?

For Generative Ai Engineer Intern jobs in Edmonton, AB, the most frequently searched job titles are:

What job categories do people searching Generative Ai Engineer Intern jobs in Edmonton, AB look for?

The top searched job categories for Generative Ai Engineer Intern jobs in Edmonton, AB are:

Generative Ai Engineer Intern jobs near you
Infographic showing various Generative Ai Engineer Intern job openings in Edmonton, AB as of July 2026, with employment types broken down into 14% Internship, 69% Full Time, and 17% Part Time. Highlights an 100% In-person job distribution.

Solution Architect - Generative AI (Azure AI Stack)

Lantern

Edmonton, AB • Remote

Full-time

Re-posted 8 days ago

Job description

We are currently looking for an Solution Architect - Generative AI who will be responsible for leading our clients in designing and deploying solutions in MS Azure.
Key Responsibilities
We are seeking a visionary Solution Architect with deep expertise in Generative AI to lead the design and delivery of intelligent solutions using the Microsoft Azure AI stack. You will work closely with our enterprise clients to architect and implement cutting-edge AI applications powered by Azure OpenAI, Azure AI Foundry, LangChain, LangGraph, Retrieval-Augmented Generation (RAG), and AI agents.
This role is ideal for someone passionate about transforming business processes through large language models (LLMs), multi-agent orchestration, and scalable AI infrastructure.
Skills, Knowledge and Expertise

Bachelor's or Master's degree in Computer Science, Engineering, or related field.
5+ years of experience in cloud solution architecture, with a strong focus on generative AI.
Hands-on experience with Azure OpenAI, LangChain, and LangGraph.
Deep understanding of LLM orchestration, agent frameworks, and RAG architectures.
Proficiency in Python and experience with cloud-native development.
Familiarity with Azure services such as Azure AI Foundry, Azure Functions, Azure AI Search, Azure Storage, and containers in Azure.
Strong communication and stakeholder engagement skills.

Preferred Skills

Experience with Azure AI Foundry or similar enterprise LLM lifecycle platforms.
Microsoft certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert).
Experience with MLOps, CI/CD for AI workloads, and responsible AI practices.
Familiarity with Semantic Kernel, or other orchestration frameworks.

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