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Generative Ai Developer Jobs in British Columbia

Web Developer

Burnaby, BC ยท On-site

CA$75K - CA$92K/yr

Familiar with Generative AI and modern LLM families (e.g., GPT-5, Claude or other OSS models ... Familiar with prompt engineering and techniques to reduce hallucination. * Experience working with ...

Web Developer

Burnaby, BC ยท On-site

CA$75K - CA$92K/yr

Familiar with Generative AI and modern LLM families (e.g., GPT-5, Claude or other OSS models ... Familiar with prompt engineering and techniques to reduce hallucination. * Experience working with ...

Designing and deploying machine learning and predictive/generative AI models for demand forecasting ... Acting as a senior technical partner to product, engineering, and business leaders on AI ...

The Principal Engineer shapes technical architecture, solution patterns, and engineering approaches ... Experience with agentic commerce, AI agents, or generative AI is a strong plus. Mastercard is a ...

Programmer Analyst I

Vancouver, BC ยท Hybrid

CA$7.1K - CA$10K/mo

We are looking for a curious, self-directed developer who takes initiative, learns new tools ... of Generative AI and Large Language Models. * Contributes to data pipelines and data-lake ...

... generative AI or RAG-based applications. * Collaborate with IT, Analytics, Product Management ... DevOps/DataOps practices, and ongoing optimization of platform performance and cloud costs. When ...

Showing results 41-60

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 British Columbia look for?

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

Infographic showing various Generative Ai Developer job openings in British Columbia as of August 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Staff AI Security Researcher (Global Security)

Royal Bank of Canada

Vancouver, BC โ€ข On-site

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Job Description

What is the opportunity?

RBC is seeking a Staff AI Security Researcher (Global Security) to lead threat research and vulnerability assessment in AI/ML security, a critical and rapidly evolving domain for financial services. This individual contributor role will identify emerging AI-specific threats, develop and validate defense mechanisms, and help establish RBC's position as a trusted voice in enterprise AI security. You will work across business units, security teams, and third-party vendors to translate cutting-edge research into practical, scalable mitigations for RBC's AI technology stack.

What will you do?

Threat Research & Analysis

  • Monitor, analyze, and assess emerging AI security threats, vulnerabilities, and attack vectors relevant to RBC's environment and the broader financial services sector
  • Research AI-specific attack vectors including prompt injection, jailbreaking, model poisoning, data poisoning, model theft, supply-chain attacks, and adversarial evasion techniques
  • Assess risks from AI-enabled threats such as social engineering, synthetic media (deepfakes), and automated attack systems targeting RBC's infrastructure, data, and customers
  • Conduct threat landscape assessments specific to RBC's AI technology stack, competitive position, and risk appetite

Validation & Security Assessment

  • Execute hands-on testing of critical AI applications, including prompt injection, jailbreaking, and adversarial attack simulations to validate security posture
  • Design and implement consistent, scalable assessment frameworks and methodologies to standardize AI security evaluations across RBC's critical applications
  • Develop proof-of-concept exploits and validation controls to demonstrate attack feasibility and test mitigation effectiveness
  • Collaborate with AI/ML/DevOps teams, AI security engineers, and third-party vendors to design practical defense strategies and controls

Communication & Influence

  • Produce high-impact technical outputs including deep-dive threat analyses, research reports, and whitepapers for internal and external audiences
  • Partner with third-party AI security technology providers to influence product roadmaps and industry standards
  • Stay current with evolving AI security threats, defensive capabilities, and industry best practices
  • Contribute to RBC's AI Security research strategy and roadmap

What do you need to succeed?

Must-have:

  • 5+ years of experience in security research and vulnerability research.
  • 2+ years of experience researching AI/ML security threats, attack vectors, or related domains.
  • Strong coding experience in one or more general-purpose languages: Python, Go, Java, or similar.
  • Understanding of AI/ML systems, architectures, and operational patterns.
  • Excellent organizational, communication, interpersonal, and technical writing skills.
  • Proven ability to influence technical strategy and security decision-making.

Preferred:

  • Published research, conference presentations, or open-source contributions in AI security.
  • Experience with large language models and generative AI applications.
  • Experience collaborating with vendors and external security researchers.

What's in it for you?
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits
  • Leaders who support your development through coaching and managing opportunities
  • Ability to make a difference and lasting impact
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • Access to a variety of job opportunities across business and geographies

#LI-POST
#TechPJ

Job Skills

Crisis Management, Critical Thinking, Cyber Threat Modeling, Decision Making, Information Capture, Offensive Cyber Operations, Penetration Testing, Researching, Security Evaluations, Security Research, Social Engineering, Threat Analysis, Threat Assessment, Threat Management, Threat Mitigation, Vulnerability Assessments, Vulnerability Research

Additional Job Details

Address:

16 YORK ST:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-05-28

Application Deadline:

2026-08-28

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME