Applied AI Lead – Calgary

Applied AI Lead – Calgary

Calgary Full-Time 123750 - 151250 $ / year (est.) On-site
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At a Glance

  • Tasks: Lead the development of AI solutions in energy and operational technology.
  • Company: Join a forward-thinking company focused on AI transformation.
  • Benefits: Competitive salary, mentorship opportunities, and a chance to shape the future of AI.
  • Other info: Dynamic role with opportunities for growth and innovation.
  • Why this job: Make a real impact by bridging AI with legacy systems in diverse sectors.
  • Qualifications: Experience in AI and operational technology, plus leadership skills.

The predicted salary is between 123750 - 151250 $ per year.

Sia seeks an Applied AI Lead to join the ETI practice in Calgary or Edmonton.

You will build AI-enabled solutions inside client environments, bridging modern AI tooling with operational technology and legacy IT systems.

You will work with AI Transformation Managers to deliver production-grade implementations and scalable automation.

You will mentor junior engineers, contribute to reusable code libraries, and help grow the ETI practice across energy, transportation, and industrial sectors.

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Applied AI Lead – Calgary employer: Sia

Sia Partners is an exceptional employer that fosters a dynamic work culture in Edmonton, offering management consultants the chance to engage with high-profile clients and drive transformative initiatives across diverse industries. With a commitment to employee growth through robust learning opportunities, competitive salaries, and a focus on work-life integration, Sia Partners ensures that its team members thrive both personally and professionally. The company's dedication to diversity, equity, inclusion, and belonging further enriches the workplace, making it a rewarding environment for those seeking meaningful and impactful careers.

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Contact Details:

Sia Recruitment Team

We think you need these skills to ace Applied AI Lead – Calgary

AI-enabled Solutions Development
Operational Technology Integration
Legacy IT Systems Knowledge
Production-grade Implementations
Scalable Automation
Mentorship
Code Library Contribution