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Internship Ai Computer Science Jobs in Edmonton, AB

TELUS

AI Lead/Developer

Edmonton, AB

Degree in Technology, Computer Science, Finance, Business, or a related field Great-to-haves ... Prior AI squad or transformation initiative experience

SIA

Applied AI Lead - Edmonton

Edmonton, AB

Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent ... Experience with AI platforms and frameworks such as OpenAI, Anthropic Claude, LangChain, LlamaIndex ...

TELUS

Data Scientist

Edmonton, AB

Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related ... Experience leveraging AI capabilities and tools (such as Vertex AI) to build machine learning ...

National Bank

Senior Data Scientist

Edmonton, AB · On-site

A career as a senior data scientist in the Western Excellence Center AI and Transformation Delivery ... Hold a degree in computer science, engineering, data science, statistics, or another related field ...

Targeted Talent

Compiler Tech Lead

Edmonton, AB

$170K - $190K/yr

Our client is a company building the world's highest-performance pure-digital AI inference chip. We ... MS or PhD in Computer Science, Engineering or related field * 10+ years of experience developing ...

Targeted Talent

Compiler Tech Lead

Edmonton, AB

$170K - $190K/yr

Our client is a company building the world's highest-performance pure-digital AI inference chip. We ... MS or PhD in Computer Science, Engineering or related field * 10+ years of experience developing ...

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Internship Ai Computer Science information

What is an AI Computer Science internship?

An AI Computer Science internship is a temporary position for students or recent graduates to gain hands-on experience working with artificial intelligence technologies and computer science concepts. Interns typically work on real-world projects involving machine learning, data analysis, programming, and algorithm development. These internships help build practical skills, expand professional networks, and often serve as a stepping stone to full-time jobs in the tech industry.

What are the key skills and qualifications needed to thrive as an AI Computer Science Intern, and why are they important?

To thrive as an AI Computer Science Intern, you need a solid understanding of programming languages (such as Python or Java), data structures, algorithms, and foundational AI concepts, typically supported by ongoing or completed studies in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), version control systems (such as Git), and data analysis tools is highly beneficial. Strong problem-solving abilities, eagerness to learn, and effective teamwork and communication skills help interns stand out. These skills and qualities are crucial for contributing to complex AI projects, adapting to new technologies, and collaborating effectively within technical teams.

What types of projects can I expect to work on during an AI Computer Science internship?

As an AI Computer Science intern, you can expect to work on projects such as developing machine learning models, analyzing large datasets, assisting with algorithm optimization, or contributing to research on natural language processing or computer vision. Interns often collaborate with cross-functional teams including data scientists, software engineers, and product managers. The work environment is typically fast-paced and encourages learning, experimentation, and regular feedback. You'll have opportunities to present your findings, participate in code reviews, and attend team meetings, helping you build both technical and professional skills.
What are popular job titles related to Internship Ai Computer Science jobs in Edmonton, AB? For Internship Ai Computer Science jobs in Edmonton, AB, the most frequently searched job titles are:
What job categories do people searching Internship Ai Computer Science jobs in Edmonton, AB look for? The top searched job categories for Internship Ai Computer Science jobs in Edmonton, AB are:
Internship Ai Computer Science jobs near you
Infographic showing various Internship Ai Computer Science job openings in Edmonton, AB as of July 2026, with employment types broken down into 68% Full Time, 28% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Solution Architect - Generative AI (Azure AI Stack)

Lantern

Edmonton, AB • Remote

Other

Re-posted 24 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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