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.
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.
Accountabilities:
- 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.
- 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.
- 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.
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.
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.