2

Remote Surface Pattern Design Jobs in Alberta (NOW HIRING)

Senior Director, Engineering

Calgary, AB · Remote

CA$217K - CA$235K/yr

Multiple engineering teams across the Essentials product surface, including Data Hub. You'll ... Remote-First (within commuting distance of Calgary) #LI-Remote The interview overview Below you'll ...

We design, automate, and maintain the infrastructure that enables our global teams to deliver ... Define agentic patterns to inflect the way we build, deploy, and observe cloud infrastructure. What ...

Developer Advocate, AI Enablement

Edmonton, AB · On-site +1

CA$93K - CA$141K/yr

This role offers ahybrid work schedule, combining remote flexibility with in-office collaboration ... Design and deliver training programs for practitioners on AI literacy, prompt engineering, and ...

Developer Advocate, AI Enablement

Calgary, AB · On-site +1

CA$93K - CA$141K/yr

This role offers ahybrid work schedule, combining remote flexibility with in-office collaboration ... Design and deliver training programs for practitioners on AI literacy, prompt engineering, and ...

next page

Showing results 1-20

Remote Surface Pattern Design information

See Alberta salary details

$22.5K

$104.5K

$400K

How much do remote surface pattern design jobs pay per year?

As of Jul 1, 2026, the average yearly pay for remote surface pattern design in Alberta is $104,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $102,000.00 per year, depending on experience, location, and employer.

What are some typical daily responsibilities for a Remote Surface Pattern Designer?

As a Remote Surface Pattern Designer, your typical day may involve brainstorming new pattern concepts, developing digital sketches, creating and testing seamless repeats, and collaborating with teams through online meetings or project management platforms. You'll often work on client briefs, revise designs based on feedback, and prepare files for production or licensing. Many designers also conduct trend research and maintain a digital archive of their work. This role requires balancing creative exploration with meeting deadlines and industry standards, all while communicating effectively with design leads and clients remotely.

What are the key skills and qualifications needed to thrive in the Remote Surface Pattern Design position, and why are they important?

Remote Surface Pattern Designers need a strong background in textile or graphic design, an eye for color and composition, and experience with creating repeat patterns. Proficiency in design software such as Adobe Illustrator, Photoshop, or specialized pattern-making tools is vital, and a relevant degree or portfolio is often required. Excellent communication, self-motivation, and time management make candidates stand out in a remote environment. These skills ensure high-quality, creative output and effective collaboration with clients and teams despite working from a distance.

What is a Remote Surface Pattern Design job?

A Remote Surface Pattern Design job involves creating repeating patterns for products such as textiles, wallpapers, packaging, and stationery while working from a remote location. Designers use digital tools like Adobe Illustrator or Photoshop to develop unique patterns based on client needs or market trends. This role often requires a strong understanding of color theory, composition, and industry trends. Remote designers collaborate with clients, manufacturers, or companies through virtual communication and may work as freelancers or for design studios.

What are popular job titles related to Remote Surface Pattern Design jobs in Alberta? For Remote Surface Pattern Design jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Remote Surface Pattern Design jobs in Alberta look for? The top searched job categories for Remote Surface Pattern Design jobs in Alberta are:
Infographic showing various Remote Surface Pattern Design job openings in Alberta as of June 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 44% Physical, 3% Hybrid, and 53% Remote job distribution, with an average salary of $104,451 per year, or $50.2 per hour.
Senior Cloud AI Software Developer (Remote)

Senior Cloud AI Software Developer (Remote)

TELUS

Edmonton, AB • Remote

Other

Posted 27 days ago


Key responsibilities

  • Design, develop, and deploy end-to-end AI models using Google Cloud Platform services.

  • Leverage Google Generative AI tools such as Google Gemini, Vertex AI, and AutoML to build AI solutions.

  • Integrate AI solutions into production environments ensuring scalability, security, and performance.


TELUS rating

8.0

Company rating: 8.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

19th of 80 rated telecommunications companies


Job description

Join our team and what we'll accomplish together

The TELUS Bill Presentment team is at the forefront of our digital transformation initiative, revolutionizing how we deliver billing information to our customers. Our mission is to create a billing experience that's simple, clear, and accurate, meeting the rapidly evolving demands of our customers. In this pivotal role,  you'll spearhead innovation, architecting cutting-edge solutions that reimagine how customers engage with their billing experience.

Are you passionate about Cloud technology and AI advancement? Join our dynamic team where innovation meets impact. We're seeking bold thinkers who embrace change, thrive in collaborative environments, and are ready to shape the future of digital billing. You'll work alongside diverse stakeholders, driving transformative business outcomes while contributing to our customer-first digital evolution.

Where clarity meets technology, and simplicity drives success!

What you'll do:

We are seeking a highly skilled and experienced Senior Cloud AI Software Engineer with deep expertise in Google Cloud Platform (GCP), particularly in Google's Generative AI tools. As a key contributor, you will be responsible for architecting, developing, and deploying advanced Cloud and AI solutions using GCP services. You will collaborate with cross-functional teams to design and implement scalable, end-to-end AI models that solve real-world business challenges.

  • Design, develop, and deploy end-to-end AI models using GCP services
  • Leverage Google Gemini and other Google Generative AI tools (Vertex AI, Fuel IX, AutoML, BERT, T5) to build cutting-edge generative AI solutions
  • Integrate AI solutions into production environments, ensuring scalability, security, and performance
  • Lead projects involving large language models
  • Collaborate with data engineers, data scientists,  to optimize solution performance and streamline workflows
  • OpenAPI Development: Build, optimize, and document APIs leveraging OpenAPI standards for seamless integration with AI systems
  • LLM: Develop and deploy solutions using large language models (e.g., OpenAI GPT, Google Bard, or similar) for tasks like NLP, chatbots, summarization, and custom AI applications.
  • Performance Optimization: Ensure AI solutions are efficient, robust, and optimized for production environments.
  • Stay updated with the latest advancements in Google's AI tools and provide strategic insights for their adoption
  • Mentor other team members and guide them in best practices for AI/ML development
What you bring
  • Bachelor's in Computer Science, Data Science, Engineering, or related field
  • 3+ years in AI development and 5+ years in GCP or any other cloud platform
  • GCP certifications (ML Engineer, Data Engineer, Cloud Engineer)
  • AI Ethics and Responsible AI practices
  • Generative AI: Google state-of-the-art models, LLM deployment, fine-tuning, and prompt engineering
  • GCP Services: Vertex AI, Dataflow, Dataproc, Composer, Cloud SQL, Kubernetes, Cloud Functions, Pub/Sub
  • Model Deployment: RAG implementation, API integration
  • Development: Python, JavaScript, Java, OpenAPI standards
  • DevOps: CI/CD (GitHub Actions, Cloud Build, Deploy), Terraform, SRE practices
  • Deployment Patterns: Blue-green, canary
  • Leadership skill : GCP/AI project management, and team mentoring
  • Problem-solving and analytical thinking
  • Technical communication with stakeholders
  • Cross-functional team collaboration

Great-to-haves:

  • Demonstrated knowledge of DevOps methodologies and Site Reliability Engineering (SRE) practices
  • Extensive hands-on experience with Google Cloud Platform, particularly with Google Kubernetes Engine (GKE)
  • Deep expertise across Google Cloud products, including Cloud Storage, Pub/Sub, Filestore, Cloud Scheduler, cloud function, Google Monitoring/Alerts, Compute Engine, Dataflow
  • Working knowledge of Generative AI technologies and experience building API integrations with various Large Language Models (LLMs)
  • Understanding of the Telecommunications Industry. Familiarity with 3GPP standards, Knowledge of network technologies supporting 5G and 5G LTE.