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Generative Ai Associate Jobs in Alberta (NOW HIRING)

... Associate or better, Databricks Generative AI Engineer). KPMG Ontario Region Pay Range Information The expected base salary range for this position is $103,000 to $135,000 and may be eligible for ...

The Warehouse Inventory Associate is to perform all warehouse operations tasks involved in the ... As demand for generative AI, high performance computing and cloud solutions rapidly expands, there ...

Demonstrate Databricks capabilities across Data Engineering, Data Science, ML, and Generative AI ... Databricks GenAI Engineer Associate certification. * Exposure to enterprise engagement cycles and ...

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Generative Ai Associate information

How does a generative AI associate typically collaborate with data scientists and engineers on projects?

As a Generative AI Associate, you will often work closely with data scientists to understand data requirements and model objectives, and with engineers to help deploy and integrate AI solutions into existing systems. Collaboration usually involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical issues together. You may also assist with data preprocessing, building prototypes, and documenting workflows to ensure smooth handoffs between teams. This cross-functional teamwork is essential for delivering robust and scalable generative AI applications.

What is a generative AI associate?

Generative AI Associates are professionals who support the development, implementation, and management of AI systems that create new content such as text, images, audio, or code. They often work with machine learning models, particularly those based on generative techniques like large language models or diffusion models. Their responsibilities may include data preparation, model training, prompt engineering, and evaluating AI outputs. Generative AI Associates typically collaborate with data scientists, engineers, and product teams to ensure AI solutions meet business and ethical standards.

What are the key skills and qualifications needed to thrive as a generative AI associate, and why are they important?

To thrive as a Generative AI Associate, strong foundations in machine learning, data analysis, and programming (often Python) are essential, typically supported by a degree in computer science or a related field. Familiarity with popular AI frameworks such as TensorFlow, PyTorch, and experience using cloud platforms like AWS or Azure are commonly required, along with knowledge of prompt engineering and large language models. Creative problem-solving, effective communication, and a collaborative mindset are standout soft skills in this role. These skills and qualities enable associates to design innovative AI solutions, communicate complex ideas, and work efficiently in fast-evolving, interdisciplinary environments.
What are the most commonly searched types of Generative Ai jobs in Alberta? The most popular types of Generative Ai jobs in Alberta are:
What are popular job titles related to Generative Ai Associate jobs in Alberta? For Generative Ai Associate jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Generative Ai Associate jobs in Alberta look for? The top searched job categories for Generative Ai Associate jobs in Alberta are:
What cities in Alberta are hiring for Generative Ai Associate jobs? Cities in Alberta with the most Generative Ai Associate job openings:
Infographic showing various Generative Ai Associate job openings in Alberta as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Solution Architect - Generative AI (Azure AI Stack)

Lantern

Edmonton, AB • Remote

Other

Re-posted 28 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.