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Genai Developer Jobs in Alberta (NOW HIRING)

... generation of AI engineers, and transform finance operations. Join our team and what we'll ... You'll leverage technical expertise in GenAI and cloud architecture to build and maintain scalable ...

... generation of AI engineers, and transform finance operations. Join our team and what we'll ... You'll leverage technical expertise in GenAI and cloud architecture to build and maintain scalable ...

Linear programming and optimization. * Multi-dimensional optimizers, such as Adam, SGD, Gradient ... Experience in end-to-end GenAI or advanced NLP projects, such as NER, table extraction, OCR ...

Senior Data Scientist

Calgary, AB · On-site

CA$90K - CA$160K/yr

Linear programming and optimization. * Multi-dimensional optimizers, such as Adam, SGD, Gradient ... Experience in end-to-end GenAI or advanced NLP projects, such as NER, table extraction, OCR ...

Linear programming and optimization. * Multi-dimensional optimizers, such as Adam, SGD, Gradient ... Experience in end-to-end GenAI or advanced NLP projects, such as NER, table extraction, OCR ...

Familiarity with modern AI/GenAI tooling and concepts * Experience with cloud platforms (Azure, AWS, Databricks) * Strong understanding of data engineering concepts (ETL, data modeling, pipelines)

Staff Data Scientist

Calgary, AB · Hybrid

CA$192K - CA$230K/yr

... engineering stack. * Architect reusable, "platform-level" forecasting frameworks to be used by ... GenAI & LLM Innovation: * Act as the subject matter expert for Generative AI; design RAG ...

Data Scientist

Calgary, AB · Hybrid

CA$131K - CA$150K/yr

Experience with LLMs and GenAI (LangChain/Graph) * A graduate degree in a relevant quantitative discipline (computer science, statistics, mathematics, physics, engineering) . This role is a backfill ...

... developers, information designers, and business/industry leaders. You will be responsible for ... GenAI is an asset. • Advanced degrees (MSc, equivalent, or higher) in Statistics, Applied ...

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Genai Developer information

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI solutions architect, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, specialized expertise, and may require relevant certifications or advanced degrees. Compensation at this level reflects significant experience and impact within the organization or industry.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like AI or machine learning engineers can earn $500,000 or more annually, especially with experience, advanced skills, and in competitive industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

What are some common challenges GenAI Developers face when integrating generative AI models into existing products?

GenAI Developers often encounter challenges related to model deployment, scalability, and ensuring data privacy when integrating generative AI models into established products. Balancing the computational requirements of large AI models with real-time application demands can be complex, and optimizing inference speed without sacrificing model quality is a key consideration. Additionally, collaborating closely with product managers, data scientists, and DevOps teams is essential to align AI outputs with business goals and maintain robust, ethical AI practices.

What jobs pay $2000 a day?

High-paying jobs that can earn $2000 or more per day often include specialized roles such as senior software engineers, data scientists, AI developers, management consultants, and certain medical specialists. These positions typically require advanced skills, extensive experience, and often involve project-based or consulting work with high hourly or daily rates.

What are GenAI Developers?

GenAI Developers are professionals who design, build, and optimize applications using generative artificial intelligence technologies. They work with models such as GPT, DALL-E, or Stable Diffusion to create tools for generating text, images, code, and other content. These developers need strong programming skills, a solid understanding of machine learning, and experience working with AI frameworks and APIs. Their responsibilities often include training custom models, integrating AI into products, and ensuring ethical use of generative AI solutions.

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

To thrive as a GenAI Developer, you need a strong background in machine learning, deep learning frameworks (like TensorFlow or PyTorch), and programming languages such as Python, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (AWS, Azure, GCP), APIs, and prompt engineering, as well as certifications in AI or ML, are typically used in this role. Creativity, problem-solving, and effective communication set outstanding GenAI Developers apart. These skills are crucial for building, optimizing, and deploying powerful generative AI models that address complex business challenges.

What is the difference between Genai Developer vs Machine Learning Engineer?

AspectGenai DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; experience with NLP and AI frameworksBachelor's or higher in CS, Data Science, or related; strong programming and ML skills
Work EnvironmentDevelops AI models focused on generative AI, often in AI startups or tech companiesBuilds and deploys ML models across various industries, including tech, finance, healthcare
Employer & Industry UsagePrimarily in AI-focused companies, research labs, and tech firmsWidely used across industries like tech, finance, healthcare, and retail

While both roles involve AI and machine learning, Genai Developers specialize in creating generative AI models like chatbots and content generators, whereas Machine Learning Engineers develop a broader range of ML models for various applications. The roles overlap in skills and tools but differ in focus and industry applications.

What is the salary of GenAI developer?

The salary of a GenAI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Senior roles or those with expertise in machine learning frameworks and large language models may earn higher compensation. Salaries can also vary based on industry and company size.

Other

Posted 6 days ago


TELUS rating

8.0

Company rating: 8.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

18th of 79 rated telecommunications companies


Job description

Description

Turn AI Opportunities Into Reality - Lead full-stack development, mentor the next generation of AI engineers, and transform finance operations.

Join our team and what we'll accomplish together

At TELUS, the Finance AI & Automation team drives our transformation into an AI-powered organization. In the AI Lead role, you will identify opportunities and build scalable AI-driven solutions while fostering innovation.

You'll leverage technical expertise in GenAI and cloud architecture to build and maintain scalable, intelligent applications that deliver measurable business value. As a technical leader and mentor, you will be involved in full-stack development and partner with Finance leaders to turn AI opportunities into reality.

What you'll do

  • Architect and develop AI/ML full-stack solutions and proof-of-concepts using GenAI technologies and cloud platforms (GCP/Azure)

  • Design and develop data pipelines, robust APIs that serve as foundations powering AI automations and transformative solutions

  • Facilitate process mapping sessions with finance SMEs to capture decision rules and identify potential solutions

  • Drive successful transitions for AI/ML tools from ideation through pilot to scaled deployment across the enterprise

  • Drive accountability through metrics tracking and transparent stakeholder communication

  • Lead technical design discussions, conduct architecture reviews, and mentor junior developers to foster best practices

Qualifications

What you bring

  • Proven 6-8 years of experience in software development or data management, with at least 4 years of technical leadership or architecting complex solutions

  • Advanced data handling and ETL skills, including Cloud Platforms (GCP, Azure), SQL, Data Modeling, and Cloud Data stores

  • Full stack development skills: Frontend (React, modern JavaScript/TypeScript) and Backend (Python, RESTful APIs)

  • Strong background in Machine Learning frameworks, GenAI platforms, LLMs, and agentic AI

  • Exceptional communication skills to present technical concepts to finance stakeholders and business leaders in accessible terms

  • Experience facilitating requirement gathering, design sessions, and technical/architectural reviews

  • Degree in Technology, Computer Science, Finance, Business, or a related field


Great-to-haves

  • Cloud certifications (GCP Professional or Azure Solutions Architect)

  • Familiarity with TELUS data platforms, tools, and AI governance frameworks

  • Prior AI squad or transformation initiative experience