Senior AI/ML Engineering Leader, Scalable GenAI for E‑commerce

Network Solutions; United States; On-site; CAD 180,000 - 280,000; Full time

Job summary

Newfold Digital is seeking an experienced AI/ML Engineering Leader to direct the design, deployment, and governance of scalable AI initiatives across its e-commerce and payments platforms. You will work with product, engineering, and data teams to align AI capabilities with business goals and drive revenue growth.

You will mentor distributed teams across the US and Canada, ensuring high standards, robust monitoring, and responsible AI practices while shaping the strategic roadmap for AI-powered

Qualifications

• 8+ years of software/engineering leadership experience.
• Deep background in Generative AI and ML architectures.
• Experience with cloud infrastructure and data pipelines.
• Leadership of distributed teams across US and Canada.
• Bachelor's or Master's in CS, AI, Data Science, or related field.

Responsibilities

• Direct the design, implementation, and deployment of scalable AI/ML models into production.
• Collaborate cross-functionally with product, software eng, payments, and data teams to integrate AI solutions.
• Mentor and grow engineering teams with a focus on innovation and technical excellence.
• Own the roadmap for AI-driven capabilities aligned with business goals.
• Ensure monitoring, governance, and responsible AI practices across systems.

Skills

AI/ML leadership

Generative AI

Cloud platforms

Large-scale data pipelines

E-commerce/payments domain

Distributed teams

Education

Bachelor's or Master's in CS/AI/Data Science

Tools

AI/ML frameworks

AWS/GCP/Azure

Job description

Newfold Digital is seeking an experienced AI/ML Engineering Leader to direct the design, deployment, and governance of scalable AI initiatives across its e-commerce and payments platforms. You will work with product, engineering, and data teams to align AI capabilities with business goals and drive revenue growth.

You will mentor distributed teams across the US and Canada, ensuring high standards, robust monitoring, and responsible AI practices while shaping the strategic roadmap for AI-powered