Director of AI Engineering Transformation, R&D Copperleaf

Role Summary

Lead the end-to-end AI transformation of IFS Copperleafs R&D organization. Drive structural efficiency gains embed AI-first operating models and scale automation across engineering product design QA and sustainment functions. Architect the transition from legacy workflows to a high-performance AI-augmented delivery engine that materially improves velocity quality and cost structure. Serve as the connective tissue between R&D and forward-deployed engineering teams to ensure market-aligned execution.

This Director of AI Engineering Transformation R&D - Copperleaf role is accountable for unlocking operating leverage modernizing our development ecosystem and ensuring Copperleafs technology organization continues innovative competitive scalable and cost-efficient.

Key Responsibilities

• Build and execute the AI transformation roadmap for R&D defining automation targets ROI metrics and performance benchmarks.
• Integrate AI-driven development automated QA intelligent documentation and engineering analytics across all delivery streams.
• Redesign engineering workflows and team structures to operate as a high-performance AI-augmented organization.
• Partner with forward-deployed engineers to ensure R&D priorities stay connected to real-world deployment needs.
• Drive cost optimization by streamlining sustainment through AI-enabled diagnostics automation and architectural improvements.
• Lead organizational change ensuring successful adoption of new tools processes and ways of working.

What Were Offering

• Salary Range: $175000 - $200000 CAD plus bonus
• Flexible paid time off including sick and holiday
• Medical dental & vision insurance
• RRSP with Company contribution
• Life insurance and disability benefits
• Tuition assistance
• Community involvement and volunteering events

Qualifications :

Required

• 10 years leading engineering AI digital transformation or large-scale technical delivery programs.
• Demonstrated track record driving enterprise-level AI adoption automation and engineering productivity improvements.
• Proven ability to lead globally distributed engineering organizations including restructuring and off-/near-shore optimization.
• Hands-on experience operationalizing AI workflows (AI-assisted development automated QA intelligent documentation engineering analytics).
• Strong architectural and technical understanding of AI-enabled software development environments.
• Proven ability to translate complex technical concepts into business value ROI and quantifiable performance gains.
• Demonstrated success leading organizational change improving cultural maturity and building high-performance teams.
• Exceptional communication skills with executive-level presence.

Preferred

• Experience in enterprise SaaS industrial AI or asset-intensive industries.
• Experience scaling new AI operating models across multiple engineering disciplines.
• MBA or equivalent business-strategy training.

Additional Information :

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles while also valuing inclusive workplace experiences. By fostering a sense of community we drive innovation strengthen connections and nurture belonging. Our commitment ensures you can work in a way that suits you best while also engaging with colleagues to share ideas and build meaningful relationships.

Remote Work :

No

Employment Type :

Full-time

Key Skills
Laboratory Experience,Vendor Management,Design Controls,C/C++,FDA Regulations,Intellectual Property Law,ISO 13485,Research Experience,SolidWorks,Research & Development,Internet Of Things,Product Development
Experience: years
Vacancy: 1