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Agentic AI Architect - Intelligence Engineering (Toronto)
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Toronto, ON · Greater Toronto Area, Canada
- Full-time
…Engineering, you’ll design and deliver innovative AI/ML and agentic AI solutions as part of intelligent products and automating / re-envisioning human workflows on Amazon Web Services,…
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- Internship
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Part Time Retail Associate (Optical): Georgetown, ON
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Maya HTT

Head of AI Transformation

Remote, Canada

Remote

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Oct 30, 2026

Original job description

Maya HTT is a world leading developer of digital industries software solutions. The world’s top tier engineering and manufacturing organizations rely on MAYA’s experience and expertise to achieve the full potential of their software investment. Maya HTT is at the forefront of innovation technology. Our team delivers extensive engineering and industrial AI expertise along with cutting-edge digitalization solutions with a focus on industrial data, AI, machine learning, industrial edge, IIoT, operational technologies, and Industry 4.0.

The role

We are hiring a Head of AI Transformation to own Maya HTT's AI strategy and prove it in production across our development, services and reseller businesses. This is a player-coach role: roughly 60% strategy, change and governance, and 40% hands-on building.

Maya HTT is a Montreal-based CAE and PLM software company and a Siemens Digital Industries Software partner. We build our own simulation software, deliver engineering services and custom tools to clients, and resell and support Siemens solutions.

You will turn a growing set of AI initiatives into measurable business results. You will spend as much time with sales and services leaders as with engineers, and you will build the first proofs of value yourself.

Responsibilities

Strategy, change and governance

Build and own the AI transformation roadmap across development, services and VAR, prioritized by business impact.

Write the business case for each initiative, and agree success metrics with each business unit head before work starts.

Lead adoption: run the steering group with business unit leaders, recruit a champion in each unit, and remove blockers.

Work with services leadership on pricing models, so efficiency gains from AI grow margin instead of shrinking billable revenue.

Set the AI usage policy, data classification rules and vendor standards, aligned with our ISO 27001 and EU Cyber Resilience Act work.

Evaluate vendors and tools, including Siemens' AI roadmap, and decide what we build, buy or resell.

Report progress and P&L impact to the CTO and executive team.

Hands-on building

Build prototypes and pilots that prove value fast, especially in services and VAR, using LLM APIs, agents and MCP integrations.

Take successful pilots to production with engineering, using frontier model platforms, MCP and the Maya Agent Platform.

Instrument every pilot so its impact is measured, not estimated.

Qualifications

10+ years in software, engineering or technology leadership, including 3+ years leading AI, automation or digital transformation work.

A track record of driving AI adoption in non-technical business units such as sales, services or support, with results you can quantify.

Hands-on experience with enterprise AI platforms (such as Anthropic, OpenAI or Microsoft Copilot) and with MCP: you have personally built agents, RAG pipelines or integrations that reached real users.

Enough architecture depth to challenge vendor claims and make sound build-or-buy calls on agents, model hosting and integrations.

Financial fluency: you build business cases and understand how automation changes services pricing and margins.

Working knowledge of AI governance: data classification, security, privacy and regulatory exposure.

The credibility to influence senior business leaders who do not report to you.

Professional English; French is a strong asset.

Nice to have

Experience in CAE, simulation, PLM or engineering software.

Experience in a professional services firm or a software reseller or channel business.

Familiarity with the Siemens Digital Industries Software portfolio.

Experience rolling out enterprise AI tools such as Claude, ChatGPT Enterprise or Microsoft Copilot across a whole company.

• Experience with Microsoft 365 data governance, such as Purview.

Why join Maya HTT?

Flex Working Hours and Hybrid Work: Office downtown Montreal, 2-minute walk from Atwater Metro.
Permanent Position and Competitive Base Salary.
100% Employer-Paid Benefits starting from Day One: Medical, Dental, Vision, Life, Short/Long Term disability insurances.
Retirement Savings: Group RRSP / DPSP Plan with Employer Contributions open to join from Day One
Career Growth Opportunities: Our flexible career paths allow you to grow, and we like to promote internally.
Learning Opportunities: Learn from the best in the industry and develop your skills.
Generous Time-Off Policy: We promote a Healthy Work-Life Balance with a Flexible PTO Policy, Sick/Personal Days, and a Summer Flex Schedule.
Structured Onboarding Program: We’re invested in your success; you’ll have team members to support you and provide a wide range of assistance from Day One.
Join an award-winning company that is recognized worldwide as an industry leader.

Our Candidate Experience Flow: HR Screen - Virtual Interviews using Microsoft Teams - Job Offer

Maya HTT is an equal opportunity employer and committed to fostering diversity and inclusion in the workplace. Accommodations are available upon request for candidates taking part in all aspects of the hiring and selection process.

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More about this job

Responsibilities

The Head of AI Transformation will own and execute the company's AI strategy across development, services, and reseller business units. This role involves both high-level governance and hands-on development of AI prototypes and production-ready solutions.

Requirements

Candidates must have over 10 years of experience in technology leadership with at least 3 years specifically in AI or digital transformation. Strong financial fluency and the ability to influence senior stakeholders are essential for this player-coach position.

Skills

AI strategy
Digital transformation
Machine learning
Industrial AI
LLM APIs
Agent development
RAG pipelines
Change management
Governance
Data classification
Financial modeling
Software architecture
Siemens software
IIoT
Industry 4.0
Leadership

Benefits

Medical insurance
Dental insurance
Vision insurance
Life insurance
Short-term disability insurance
Long-term disability insurance
Retirement savings plan
Flexible time-off policy
Sick days
Personal days
Summer flex schedule
Structured onboarding program

Visa sponsorship

Not detected in the job text

Keywords

AI Transformation
Machine Learning
Industrial AI
IIoT
Industry 4.0
LLM
Agents
MCP
RAG
CAE
PLM
ISO 27001
EU Cyber Resilience Act
Governance
Data Classification
Software Development
Digitalization
Operational Technologies
Business Case
P&L
Prototyping
Enterprise AI
Microsoft Copilot
Anthropic
OpenAI
Microsoft 365
Purview
Automation
Strategy

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