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Generative Ai Developer Jobs in Alberta (NOW HIRING)

Data Elephant Inc

Databricks Engineer

Calgary, AB

Integrate Databricks with Azure services such as ADLS, ADF, Azure Key Vault and DevOps/Github ... Evaluate and prioritize high-value AI and ML use cases, embedding Generative AI into client ...

TELUS

Staff Applied AI/ML Scientist

Calgary, AB

Drive the development and deployment of Generative AI applications, tools, and frameworks that ... Coach and mentor a growing team of data scientists and engineers, fostering a culture of continuous ...

TELUS

Staff Applied AI/ML Scientist

Edmonton, AB

Drive the development and deployment of Generative AI applications, tools, and frameworks that ... Coach and mentor a growing team of data scientists and engineers, fostering a culture of continuous ...

Parkland

SAP AI Solution Architect

Calgary, AB

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.

Clio

ML Platform Engineer

Calgary, AB · On-site

CA$152K - CA$174K/yr

We blend deep AI and ML expertise with strong software engineering and cloud infrastructure skills to enable the entire lifecycle of machine learning and generative AI - spanning experimentation ...

MongoDB

Software Engineer, Code Generation

Calgary, AB · On-site

Experience with generative AI and specifically LLMs is highly desirable * Experience with text processing engines such as ANTLR is highly desirable * Strong understanding of software engineering ...

Dura Digital

Project Manager

Calgary, AB · Hybrid

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 ...

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Generative Ai Developer information

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

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.

Is generative AI a good career?

Generative AI is a rapidly growing field with high demand for skilled developers who can create and optimize AI models using tools like deep learning frameworks. Careers in this area often require knowledge of machine learning, programming, and data handling, offering opportunities in tech companies, research, and startups. The field provides competitive salaries and continuous learning opportunities due to its evolving nature.

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.

What is the salary of a generative AI developer?

The salary of a generative AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Senior developers with expertise in machine learning frameworks and deep learning may earn higher compensation, especially in tech hubs or companies with advanced AI projects.

What does a generative AI developer do?

A generative AI developer designs and builds algorithms that enable machines to create content such as text, images, or audio. They work with machine learning frameworks, train models on large datasets, and optimize algorithms for performance and accuracy, often using tools like Python and TensorFlow or PyTorch.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence development, such as a senior Generative AI Developer or AI research lead, often involving advanced skills in machine learning, deep learning, and large language models. These roles usually require extensive experience, specialized knowledge, and may include responsibilities like designing AI systems, managing teams, or overseeing AI strategy in organizations with competitive compensation packages. Such salaries are common in top tech companies or specialized AI firms for highly skilled professionals.

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 popular job titles related to Generative Ai Developer jobs in Alberta? For Generative Ai Developer jobs in Alberta, the most frequently searched job titles are:
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:
Generative Ai Developer jobs near you

Databricks Engineer

Data Elephant Inc

Calgary, AB

Full-time

Posted 7 days ago

Job description

We are seeking a Senior Databricks Engineer to join our growing team to design, build, and optimize modern data platforms on Azure using Databricks. You will work directly with client data and analytics teams, helping them migrate, modernize, and scale their data workloads while applying best practices in data engineering, security, and governance. This is a hands-on engineering role with strong exposure to architecture decisions, client interaction, and end-to-end delivery.


Responsibilities

  • Lead the implementation of modern data platforms and architectures on Databricks (including ETL, workload migrations, and Unity Catalog).
  • Design and implement data pipelines using Azure Databricks (PySpark, SQL)
  • Build and optimize batch and streaming data workloads
  • Migrate legacy data workloads to Azure + Databricks
  • Implement Delta Lake patterns (medallion architecture, CDC, data quality)
  • Integrate Databricks with Azure services such as ADLS, ADF, Azure Key Vault and DevOps/Github
  • Optimize performance and cost (cluster sizing, job orchestration, query tuning)
  • Collaborate with solution architects, analytics engineers, and client stakeholders
  • Contribute to reusable accelerators, standards, and internal best practices
  • Support client enablement through knowledge transfer and documentation
  • Provide hands-on solution delivery, including guiding and working closely with client engineers and ensuring best practices.
  • Implement governance models and Unity Catalog including data access, lineage, and security frameworks.
  • Evaluate and prioritize high-value AI and ML use cases, embedding Generative AI into client strategies.
  • Act as a thought leader by contributing to client workshops, executive roundtables, and industry discussions.


QUALIFICATIONS

  • 5-7+ years of experience in data engineering.
  • 3+ years of hands-on experience with Databricks, including advanced features (Delta Lake, Unity Catalog, MLflow).
  • Proven experience leading large-scale data migrations (ETL, workloads, cloud platforms).
  • Strong expertise in Azure environments. Multi-cloud experience is an asset.
  • Experience working with Azure data services (ADLS, ADF, Synapse, etc.)
  • Solid understanding of modern data architectures (lakehouse, medallion, ELT/ETL)
  • Experience with CI/CD for data workloads
  • Strong communication skills and comfort working directly with clients
  • Excellent understanding of data governance, security, and compliance in enterprise environments.
  • Consulting experience is strongly preferred.
  • Databricks or cloud certifications required.


Be part of Canada's leading boutique consulting firm focused on Databricks and modern data platforms.

  • Work on challenging, high-impact projects with mid-sized and enterprise clients across industries,
  • and collaborate with a senior, high-performing team that values speed, pragmatism, and client success.

Apply