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
Role SummaryLead 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-perfo...
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
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