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Generative Ai Project Manager Jobs in Calgary, AB

Experience managing projects in cloud-native or engineering environments; exposure to Generative AI, LLMs, or Agentic AI is highly desirable. * Proficiency with project management tools (Azure DevOps ...

Manager AI

Calgary, AB · On-site +1

Spearhead projects in areas such as automated network management, predictive maintenance, optimized operations and targeted investments to improve end-user experience * Stakeholder Engagement:

... technologies to manage their business more effectively. Headquartered in Texas, we have 450 ... Familiarity with generative AI tools and frameworks (e.g., AutoGen, Hugging Face, LangChain ...

This is a hybrid role: part portfolio governance leader, part technically fluent program manager ... Delivery * Apply AI across the portfolio lifecycle: use generative AI for status synthesis ...

AI Engineer - Canada

Calgary, AB · Remote

CA$60K - CA$70K/yr

It is dedicated to empowering purpose-driven enterprises to manage and improve their environmental ... Experience leveraging AI Copilot or similar generative AI coding tools for accelerated development ...

At Chandos, our Project Managers are at the heart of everything we build. They take full ownership ... Some of Chandos' external staffing partners may use AI to screen, assess, or select candidates ...

We design and deploy management tools, mobile applications, and integration services that enable ... Integrate AI into your daily development practice-leveraging generative AI and knowledge bases to ...

Senior Project Manager

Calgary, AB · Hybrid

CA$120K - CA$138K/yr

Clio is the global leader in legal AI technology, empowering legal professionals and law firms of ... Clio's Project Management Office (PMO) leads the company's most strategic, complex, cross ...

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Generative Ai Project Manager information

What are some unique challenges faced by Generative AI Project Managers when overseeing cross-functional teams?

Generative AI Project Managers often encounter the challenge of bridging knowledge gaps between technical AI specialists, such as data scientists and engineers, and non-technical stakeholders, like product managers or business leaders. Coordinating clear communication and aligning project goals requires balancing rapid technological changes with business requirements, all while ensuring ethical and responsible AI development. Additionally, managing timelines can be complex due to the experimental nature of generative AI projects, which may involve iterative prototyping and unexpected roadblocks. Building trust and facilitating collaboration across diverse teams is key to project success.

What is the difference between Generative Ai Project Manager vs Data Scientist?

AspectGenerative Ai Project ManagerData Scientist
Required CredentialsProject management certifications, AI knowledgeDegree in Data Science, Computer Science, or related fields
Work EnvironmentCross-functional teams, project planningData analysis, model development
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, research institutions, analytics companies

While both roles involve AI, the Generative Ai Project Manager oversees AI projects, coordinating teams and timelines, whereas the Data Scientist focuses on analyzing data and building models. The project manager ensures project delivery, while the data scientist develops the AI models used within projects.

What does a Generative AI Project Manager do?

A Generative AI Project Manager oversees projects that involve the development and implementation of generative artificial intelligence solutions. Their responsibilities include coordinating teams of data scientists, engineers, and designers, managing project timelines and budgets, and ensuring that deliverables meet business objectives. They also facilitate communication between technical and non-technical stakeholders to ensure alignment and project success. Additionally, they stay updated on advances in AI technology to guide project direction and innovation.

What are the key skills and qualifications needed to thrive as a Generative AI Project Manager, and why are they important?

To thrive as a Generative AI Project Manager, you need a solid understanding of AI/machine learning concepts, project management methodologies, and a relevant degree (such as computer science or engineering). Familiarity with tools like Jira, Agile frameworks, and AI platforms (e.g., TensorFlow, PyTorch) as well as certifications like PMP or Agile Scrum Master are highly beneficial. Strong leadership, communication, and problem-solving skills set outstanding candidates apart by enabling them to bridge technical and non-technical teams. These abilities are crucial for delivering AI projects on time, ensuring alignment with business goals, and adapting to rapidly evolving technology landscapes.
What are popular job titles related to Generative Ai Project Manager jobs in Calgary, AB? For Generative Ai Project Manager jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Generative Ai Project Manager jobs in Calgary, AB look for? The top searched job categories for Generative Ai Project Manager jobs in Calgary, AB are:
What cities near Calgary, AB are hiring for Generative Ai Project Manager jobs? Cities near Calgary, AB with the most Generative Ai Project Manager job openings:
Infographic showing various Generative Ai Project Manager job openings in Calgary, AB as of June 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution.
Generative AI Developer - Microsoft Azure AI Stack

Generative AI Developer - Microsoft Azure AI Stack

Lantern

Calgary, AB

Other

Posted 15 days ago


Job description

Key Responsibilities
We are looking for a hands-on Generative AI Developer with strong experience in building intelligent applications using the Microsoft Azure AI stack. As part of a Microsoft partner consultancy, you will work on developing and deploying cutting-edge AI solutions powered by Azure OpenAI, Azure AI Foundry, LangChain, LangGraph, and Retrieval-Augmented Generation (RAG).
This role is ideal for a developer who thrives in a fast-paced environment and is passionate about building real-world applications with large language models (LLMs), agent-based workflows, and scalable AI infrastructure.
Skills, Knowledge and Expertise

   Develop and deploy Generative AI applications using: 
   Azure OpenAI Service (GPT models, embeddings, fine-tuning)
   Azure AI Foundry for managing LLM lifecycle and deployment
   LangChain and LangGraph for orchestrating multi-agent and multi-step workflows
   RAG pipelines using Azure AI Search and vector databases
   AI agents and MCP servers for task automation and reasoning
   Implement prompt engineering strategies and optimize LLM interactions.
   Build APIs and microservices to integrate AI capabilities into enterprise applications.
   Collaborate with architects and client teams to understand requirements and deliver solutions.
   Ensure code quality, performance, and security in cloud-native environments.
   Stay up to date with the latest in generative AI frameworks, tools, and best practices.

Required Qualifications:

   Bachelor's degree in Computer Science, Engineering, or related field.
   3+ years of experience in software development, with a focus on AI/ML applications.
   Hands-on experience with Azure OpenAI, LangChain, and LangGraph.
   Solid 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 Functions, Azure AI Search, Azure Storage, and containerization (Docker/Kubernetes).
________________________________________

What We Offer:


   Opportunity to build impactful generative AI solutions for enterprise clients.
   Access to exclusive Microsoft partner resources and training.
   A collaborative, innovative, and growth-oriented work environment.
   Competitive compensation and benefits.
   Career development in a rapidly evolving AI landscape.