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Principal, AI Technical Expert

  • Toronto, ON, Canada

Full-time

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Job details

Job type
Full-time
Experience
8+ years of experience in applied AI, machine learning or software engineering, with recent hands-on work with large language models
Posting language
English
Posted

Original job description

Who are we?

Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.

A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future.A career at Equinix means being at the center of shaping what comes next and amplifying customer value through innovation and impact. You’ll work across teams, influence key decisions, and help shape the path forward. You’ll find belonging, purpose, and a team that welcomes you - because when you feel valued, you’re empowered to do your best work.

Job Summary

This role is the AI technical expert for Digital University: the person who designs and builds the AI agents and tools that support enablement and help people at Equinix learn and work in new ways. You will build AI-powered enablement capability, keep a strong understanding of the AI tool landscape, and coach teams on practical AI use.

You are technically brilliant, you build prototypes yourself, and you are passionate about learning and about teaching. You innovate at the cutting edge, and you want to share what you know. You are responsible for teaching and enabling your fellow engineers.

Responsibilities

AI Agents & Tools for Enablement

  • Design and build AI agents and AI tools that support enablement in general, from concept and prototype through to working solutions
  • Ground agents in enterprise content (retrieval and knowledge grounding) and define how their quality, accuracy and safety are tested and evaluated
  • Explore how AI can personalise and adapt the learning experience, and prototype new approaches personally

AI Tool Landscape

  • Maintain a strong understanding of the AI tool landscape, for both general use and enablement, including enterprise platforms such as Claude, Copilot and the Microsoft stack
  • Keep a close watch on cutting-edge developments and bring the best ideas into Digital University

Teaching & Enablement

  • Teach and enable fellow engineers and teams in practical AI use, including agents and prompt engineering
  • Create reusable patterns, examples, exercises and playbooks, and build a community of practice around them

Qualifications

Essential

  • 8+ years of experience in applied AI, machine learning or software engineering, with recent hands-on work with large language models
  • Demonstrated depth in LLM agents and prompt engineering, retrieval-augmented generation and knowledge grounding, evaluation of AI output quality, accuracy and safety, and enterprise AI platforms
  • Hands-on builder who develops working prototypes personally
  • Prior teaching or enablement experience (for example workshops, internal communities of practice, mentoring programmes, talks or training others), and a genuine passion for teaching others
  • Passion for learning and innovation, with a track record of exploring new approaches at the cutting edge

Highly Desirable

  • Consulting firm AI practice experience
  • Experience with EdTech or learning-focused AI products, including tutoring, personalisation or adaptive learning
  • Experience with responsible AI, governance and security considerations in an enterprise setting

The targeted pay range for this position in the following location is / locations are:

Canada - Toronto Office TRO : 142,000 - 212,000 CAD / Annual

United States - Dallas Infomart Office DAI : 138,000 - 208,000 USD / Annual

Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location.The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.

The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.

Equinix Benefits

As an employee, you become important to Equinix’s success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we’re providing you with the best package possible. So, wherever you are in your career and life, you’ll be able to enhance your experience and bring your whole self to work.

Employee Assistance Program: An Employee Assistance program is available to all employees.


US Benefits: - Insurance: You may enroll in health, life, disability and voluntary plans that are designed for you and your eligible family members. - Retirement: You and Equinix may contribute to a retirement plan to help you plan for your financial future. - Paid Time Off (PTO) and Paid Holidays: You will receive an accrued amount of PTO each pay period along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to change and may be subject to specific plan or program terms.

Canada Core Benefits: - Insurance: You may enroll in healthcare coverage that is designed to complement the provincial healthcare system, along with life, disability and optional benefit plans that are designed for you and your eligible family members. - Retirement: You may also enroll in Equinix-sponsored retirement or savings plans: Defined Contribution Pension Plan (DCPP), Group Retirement Savings Plan (RRSP) and Tax-Free Savings Plan (TSFA). - Vacation and Paid Holidays: Equinix offers both vacation and personal time, along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to specific plan or program terms, and to change at Equinix discretion.


Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability.  If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.

Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

We use artificial intelligence in our hiring process. Learn more here.


This posting is a new position within our organization.

More about this job

Responsibilities

Design and build AI agents and tools to support organizational enablement and learning. Teach and mentor fellow engineers on practical AI use, prompt engineering, and reusable AI patterns.

Requirements

Requires 8+ years of experience in applied AI, machine learning, or software engineering with hands-on LLM expertise. Candidates must demonstrate a strong background in building prototypes and a passion for teaching and enablement.

Skills

  • Artificial intelligence
  • Machine learning
  • Software engineering
  • Large language models
  • LLM agents
  • Prompt engineering
  • Retrieval-augmented generation
  • Knowledge grounding
  • AI prototyping
  • Mentoring
  • Technical training
  • Enterprise AI platforms
  • Claude
  • Copilot
  • Microsoft stack
  • Governance

Benefits

  • Health insurance
  • Life insurance
  • Disability insurance
  • Retirement plan
  • Paid time off
  • Paid holidays
  • Employee assistance program

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Software
  • Data & Analytics
  • Education
  • Consulting

Keywords

  • Artificial Intelligence
  • Machine Learning
  • Software Engineering
  • Large Language Models
  • LLM Agents
  • Prompt Engineering
  • Retrieval-Augmented Generation
  • Knowledge Grounding
  • AI Prototyping
  • Enterprise AI
  • Claude
  • Copilot
  • Microsoft Stack
  • EdTech
  • Adaptive Learning
  • Responsible AI
  • Governance
  • Security
  • Mentoring
  • Technical Enablement
  • Digital Infrastructure
  • Community of Practice
  • Applied AI
  • AI Tool Landscape
  • Innovation

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