Full Stack Developer - GenAI

TELUS Digital

$100K — $130K *
US-AnywhereRemote in Toronto, ON
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of experience in software architecture and development
  • Proven experience with GCP and/or Azure cloud platforms
  • Strong background in AI/ML solution development
  • Experience evaluating and utilizing LLMs and staying current in GenAI advancements
  • Experience leading technical teams and complex projects
  • Expertise in modern software development practices
  • Strong problem-solving and analytical skills
  • Excellent communication skills for conveying complex technical concepts

Responsibilities

  • Design and architect end-to-end AI/ML solutions on GCP/Azure
  • Lead technical teams in implementing AI/GenAI automation solutions
  • Remove roadblocks to delivery effectively
  • Collaborate with stakeholders to translate business requirements into technical solutions
  • Provide technical guidance to refine business requirements
  • Mentor development teams in best practices
  • Develop proof-of-concepts and prototype solutions
  • Create and maintain technical documentation and solution architectures
  • Evaluate and recommend new AI/ML technologies

Benefits

  • Opportunity to work with innovative technologies and health delivery services
  • Collaborative team environment focused on creating healthier communities
  • Possibility of influencing the architecture of AI/ML solutions
  • Technical leadership role with impactful responsibilities
  • Mentoring opportunities for professional development
Full Job Description
The Opportunity

Full Stack Developer -AI_GenAI

Location: Canada

Be part of a transformational journey with innovative talent and leading-edge technologies within TELUS Health.

Our team and what we'll accomplish together

The TELUS Health Data Office brings the power of data and analytics to life, leveraging our market leading health & wellbeing products and the health delivery services to help create healthier communities around the globe.

Overview

We're seeking an experienced full stack developer to join our AI Automation team, focusing on designing and implementing AI/ML/GenAI solutions. This role combines technical leadership with hands-on development, requiring expertise in cloud platforms and artificial intelligence technologies.

Key Responsibilities

- Design and architect end-to-end AI/ML solutions using GCP/Azure cloud platforms

- Lead technical teams in implementing AI/ GenAI automation solutions

- Accountable for removing roadblocks to delivery

- Collaborate with stakeholders to understand business requirements and translate them into technical solutions

- Provide technical guidance to refine business requirements by deeply understanding customer needs and proposing impactful solutions.

- Provide technical guidance and mentorship to development teams

- Develop proof-of-concepts and prototype solutions

- Create and maintain technical documentation and solution architectures

- Evaluate new AI/ML technologies and recommend adoption strategies

Required Qualifications

- 7+ years of experience in software architecture and development

- Proven experience with GCP and/or Azure cloud platforms

- Strong background in AI/ML solution development and implementation

- Strong experience in evaluating and utilizing LLMs and up to date with the latest evolutions in the GenAI space

- Experience leading technical teams and managing complex projects

- Expertise in modern software development practices and methodologies

- Strong problem-solving and analytical skills

- Excellent communication skills with ability to explain complex technical concepts

- Managerial experience a plus

Technical Skills:

- Cloud Platforms: GCP (BQ, Looker), Azure

- AI/ML Technologies: Machine Learning frameworks, GenAI platforms

- Software Architecture: Microservices, API design, distributed systems

- Development: Hands-on coding experience in relevant programming languages, React, NodeJS

- Experience using Data store on cloud, Vector db, embeddings

- DevOps: CI/CD, Infrastructure as Code

Preferred Qualifications

- Cloud certifications (GCP Professional or Azure Solutions Architect)

- Experience with large-scale AI/ML deployments

- Background in data engineering and analytics

- Agile methodology experience

- Open-source contributions

The ideal candidate will combine technical expertise with leadership skills, demonstrating the ability to both architect solutions and guide teams through successful implementation.

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