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Internship Ai Computer Science Jobs in Alberta (NOW HIRING)

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

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

We develop AI-enabled solutions to address all aspects of a client's transformative journey with ... Computer Science, or a related field is required. • BA/BSc degree in these fields will be ...

University degree in computer science, engineering, data science, mathematics, or a related discipline. * 5+ years of professional experience in machine learning, data science, AI engineering, or a ...

Senior Deep Learning Engineer

Calgary, AB · On-site +1

$130K - $180K/yr

If you thrive on pushing the boundaries of AI technology, this role is for you! Requirements: * Bachelor's degree in Computer Science, Engineering, or related field * 5+ years of experience, with at ...

Senior Deep Learning Engineer

Calgary, AB · On-site +1

$130K - $180K/yr

If you thrive on pushing the boundaries of AI technology, this role is for you! Requirements: * Bachelor's degree in Computer Science, Engineering, or related field * 5+ years of experience, with at ...

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 ...

Master's degreerequired(e.g., Computer Science, MBA, or similar) * Technical background is a plus ... AI also helps us better predict successful hires by reviewing all applicants for a role and the ...

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 ...

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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?

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 Alberta? For Internship Ai Computer Science jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Internship Ai Computer Science jobs in Alberta look for? The top searched job categories for Internship Ai Computer Science jobs in Alberta are:
What cities in Alberta are hiring for Internship Ai Computer Science jobs? Cities in Alberta with the most Internship Ai Computer Science job openings:
Infographic showing various Internship Ai Computer Science job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution.

Solution Architect - Generative AI (Azure AI Stack)

Lantern

Edmonton, AB • Remote

Full-time

Re-posted 13 hours 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.