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Generative Ai Developer Jobs in Alberta (NOW HIRING)

Work closely with designers, developers, data engineers, and integration architects to bring AI ... Hands-on development of generative copilots, conversational UIs, or task automation flows.

Bachelor's degree in engineering. * 5+years experienceinmechanical engineering, electrical ... As demand for generative AI,high performancecomputing and cloud solutions rapidlyexpands, there has ...

... from generative AI, and our innovative solutions are reshaping the way energy is consumed and ... The Team: We're looking for a Senior Data Engineer to lead the technical implementation of our next ...

As a Quality Engineer, you'll be a key part of our Quality team, using your advanced problem ... As demand for generative AI,high performancecomputing and cloud solutions rapidlyexpands, there has ...

... from generative AI, and our innovative solutions are reshaping the way energy is consumed and ... The Team: We're looking for a Senior Data Engineer to lead the technical implementation of our next ...

... generative AI, agentic AI, machine learning and data though novel and creative applications in ... Programming and use of tools related to our area of practice such as: Python, PyTorch. * Experience ...

Mechanical Engineer, Sustaning ABOUT COOLIT, AN ECOLAB COMPANY Founded in Calgary, Alberta in 2001 ... 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 use cases, including Mosaic AI, MLflow, and Feature Store. * Identify and mitigate technical risks ...

We are looking for a Thermal Mechanical Engineer to join our team, reporting directly to the ... As demand for generative AI, high performance computing and cloud solutions rapidly expands, there ...

Showing results 21-40

Generative Ai Developer information

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

What are the key skills and qualifications needed to thrive as a generative AI developer?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

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

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

How to become a generative AI developer?

To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.

What job categories do people searching Generative Ai Developer jobs in Alberta look for?

The top searched job categories for Generative Ai Developer jobs in Alberta are:

Infographic showing various Generative Ai Developer job openings in Alberta as of August 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 63% Physical, 5% Hybrid, and 32% Remote job distribution.

SAP AI Solution

Patriot Advertising Sourcing Solutions

Calgary, AB โ€ข On-site

Full-time

Posted 19 days ago


Key responsibilities

  • Lead discovery sessions to identify high-impact AI use cases across SAP systems.

  • Design end-to-end AI workflows and build prototypes to validate feasibility and business value.

  • Design secure integrations between SAP core systems and AI services, ensuring compliance with security and governance standards.


Job description

We are seeking an experienced SAP AI Solution Architect to design and deliver scalable AI-powered solutions across the SAP ecosystem. This role will focus on leveraging SAP Business AI capabilities—including SAP Joule, predictive AI, copilots, and custom AI services on SAP BTP—to enhance business processes, automate workflows, and generate actionable insights.

Competitive Benefits. Meaningful Extras. Unmatched Value.

  • A place where you can take your career in the direction you want to grow and go

The Opportunity:

We are seeking an experienced SAP AI Solution Architect to design and deliver scalable AI-powered solutions across the SAP ecosystem. This role will focus on leveraging SAP Business AI capabilities—including SAP Joule, predictive AI, copilots, and custom AI services on SAP BTP—to enhance business processes, automate workflows, and generate actionable insights. The successful candidate will collaborate with business and technical stakeholders to lead AI discovery workshops, architect innovative solutions, build prototypes, and drive enterprise AI adoption.

Responsibilities:

AI Use Case Design: Lead discovery sessions to identify high-impact AI use cases across SAP S/4HANA, BTP applications, and cross-system processes.
Solution Architecture: Design end-to-end AI workflows using SAP Business AI, Joule, SAP coproducts, AI Core, AI Launchpad, and custom AI services on BTP.
Prototyping & PoCs: Build and lead rapid PoCs and MVPs to validate feasibility, user experience, and business value.
Custom AI on BTP: Architect retrieval pipelines, embeddings, LLM-powered extensions, generative copilots, and side-by-side AI applications.
Integration & Extensibility: Design secure integrations between SAP core systems and AI services, leveraging CAP, Event Mesh, API Management, and clean-core patterns.
Responsible AI: Ensure compliance with enterprise security, governance, data privacy, and responsible AI guidelines.
Collaboration: Work closely with designers, developers, data engineers, and integration architects to bring AI-driven experiences to life.

Education:

  • Bachelor's degree or equivalent work experience required.
  • SAP certifications in BTP, AI, or Application Development preferred.

Requirements:

  • 7+ years in SAP architecture/development, with at least 2–3+ years focused on AI, BTP, automation, or intelligent extensions.
  • Proficiency in Python, JavaScript, SQL, and working with APIs and data formats (JSON, YAML).
  • Familiarity with SAP Business AI portfolio (Joule, predictive AI, SAP Copilots).
  • Understanding of AI Core, AI Launchpad, vector stores, prompt engineering, and retrieval-augmented generation (RAG).
  • Experience designing or building AI-powered apps using CAP, Node.js/Java services, and BTP extension models.
  • Understanding of LLM architectures, embeddings, and integration patterns.
  • Architecture & Security: Strong grasp of clean-core extensibility, API-led design, event-driven patterns, OAuth2/JWT/SAML-based security, and enterprise governance.
  • Excellent communication, workshop facilitation, and ability to translate AI capabilities into actionable business outcomes.
  • Experience working across discovery, prototype, architecture, and delivery phases of complex SAP or AI programs.

Preferred Skills

  • Experience integrating SAP systems with hyperscaler AI services (Azure OpenAI, Vertex AI, AWS Bedrock).
  • Hands-on development of generative copilots, conversational UIs, or task automation flows.
  • Experience with knowledge models, enterprise search, or domain-specific vector stores.

Humble. Hungry. Smart. Does this sound like you?

Do others describe you as being a down-to-earth achiever? Someone who thinks outside the box and always strives to do more than what is required? Someone who sees the bigger picture? You sound brilliant to work with!

We Want You To Shine:

We are committed to providing equal opportunities to all applicants. If you require accommodation due to a disability, you will have an opportunity to notify us when scheduling your interview.

Belonging Matters. Because You Do:

We are an equal opportunity employer and encourage applications from all qualified individuals. Our ability to work as one team across Canada, the United States, and the Caribbean is foundational to our success. We show up as our authentic selves each day and create space for one another's unique contributions.

We respect the diverse cultures, traditions, and perspectives of Indigenous Peoples and seek to achieve equitable partnerships and opportunities with Indigenous communities.

The Fine Print:

Candidates must be legally eligible to work in the country in which they applied. Regrettably, we are unable to sponsor employment visas at this time.

Final candidates will be required to undergo a confidential pre-employment background check, including but not limited to educational, criminal, credit, drug and alcohol, and/or fitness for duty testing.

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