Lead, Data Development, AI Platform

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead, Data Development, AI Platform based in Canada.

We are seeking a technical leader to drive the development and operation of an advanced AI data platform that enables reliable, scalable, and intelligent analytics solutions.
This role combines hands-on engineering expertise with strategic technical leadership, guiding teams in building production-grade infrastructure.
You will define architectural direction, improve engineering practices, and help create platforms that support AI-driven workflows at scale.
The position requires close collaboration across data, AI, and engineering teams to deliver secure, observable, and high-quality systems.
You will play a key role in shaping orchestration services, data pipelines, and platform capabilities that power next-generation AI experiences.
This is an opportunity for an experienced engineering leader who enjoys solving complex technical challenges while developing high-performing teams.

As the Lead, Data Development, AI Platform, you will lead the design, implementation, and evolution of core AI platform capabilities while maintaining a strong focus on engineering excellence, reliability, and team growth.

• Lead the design and delivery of orchestration systems connecting AI analytics platforms, including query execution, federated data access, workflow automation, and multi-step agent processes.
• Define technical recommendations for platform architecture evolution, align solutions with leadership expectations, and guide execution through structured engineering practices.
• Own the reliability, scalability, observability, and quality standards of critical platform components, including routing infrastructure, agent infrastructure, and supporting services.
• Drive incident response, troubleshooting, root-cause analysis, and continuous improvement initiatives to maintain production-grade systems.
• Establish standards for data pipelines designed for AI and programmatic consumption, ensuring data quality, documentation, testing, monitoring, and operational reliability.
• Build and improve internal tools and automation that enhance AI engineering workflows, including deployment, monitoring, diagnostics, and operational support.
• Provide hands-on technical leadership through coding, architecture discussions, design reviews, and engineering best practices.
• Mentor engineers through coaching, feedback, code reviews, and career development support.
• Collaborate with AI, data architecture, and engineering teams to ensure seamless integration between platform services, data models, context layers, and AI workflows.
• Promote a culture of accountability, innovation, technical excellence, and continuous learning within the engineering team.

Requirements:

The ideal candidate brings extensive software, data, or AI platform engineering experience combined with strong technical leadership capabilities and the ability to influence architecture and delivery outcomes.

• 8+ years of experience in software engineering, data engineering, AI platform engineering, or related technical fields.
• Experience leading or mentoring engineering teams, including setting technical direction, supporting professional growth, and driving delivery accountability.
• Strong programming experience across backend services, APIs, data pipelines, or platform infrastructure.
• Proven experience designing and operating scalable systems, distributed architectures, workflow orchestration, or complex integrations.
• Experience building orchestration solutions involving multiple systems, automated workflows, query execution, or agent-based processes.
• Working knowledge of AI and LLM-based systems, including agents, tools, context interfaces, and orchestration layers.
• Experience developing data pipelines for AI or programmatic use cases with strong focus on quality, testing, observability, and maintainability.
• Familiarity with production reliability practices, including monitoring, debugging, security integration, performance optimization, and incident management.
• Strong ability to influence technical decisions through clear communication, tradeoff analysis, and compelling recommendations.
• Inclusive leadership mindset with experience building collaborative and diverse engineering teams.
• Strong planning and organizational skills, with the ability to translate long-term technical vision into actionable execution plans.
• Excellent communication skills, with the ability to clearly explain technical concepts, risks, and decisions across different audiences.
• Growth mindset, curiosity, resilience, ownership, and commitment to continuous improvement.

Benefits:

• Competitive compensation range of approximately $98,400–$137,800 CAD annually.
• Fully remote work opportunity.
• Opportunity to work on innovative AI and data platform initiatives with global impact.
• Collaborative environment focused on inclusion, learning, and continuous improvement.
• Professional growth opportunities through technical challenges and leadership development.
• Supportive culture that values autonomy, accountability, and knowledge sharing.
• Accessibility accommodations available throughout the hiring process when needed.