Software Development Manager, MCP/AI
Job Description
Team: IT
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Development Manager, MCP/AI based in Canada.
This is a high-impact engineering leadership role focused on building the next generation of agentic AI capabilities within a 2D/3D visualization ecosystem used across design and engineering workflows. You will lead a newly formed team responsible for evolving a core viewer capability into a production-grade AI platform that enables users to interact with complex models through natural language and intelligent assistance. The role combines hands-on technical leadership, team building, and AI strategy in a greenfield environment where standards are still being defined. You will hire and grow a multidisciplinary team, including AI/ML talent, while shaping the technical direction of an emerging agentic platform. A key part of the role is establishing trust, safety, and evaluation frameworks for AI systems deployed at scale. This is a unique opportunity to define how agentic AI is embedded into high-performance visualization workflows used by designers, engineers, and creators worldwide.
Accountabilities:
- Build, lead, and scale a high-performing engineering team, including AI/ML talent, through hiring, coaching, and performance development.
- Define and drive the technical vision, architecture, and roadmap for a next-generation agentic AI and MCP-based platform.
- Own end-to-end delivery of Viewer MCP and AI-powered capabilities, ensuring predictable execution and high-quality releases.
- Establish engineering and AI best practices, including CI/CD, testing, observability, and production reliability for AI systems.
- Design and implement evaluation frameworks for AI quality, safety, latency, cost, and reliability, embedding them into delivery workflows.
- Partner cross-functionally with product, UX, applied AI, and platform teams to build a shared agentic layer across visualization solutions.
- Drive adoption of responsible AI practices, including human-in-the-loop design, traceability, and confidence scoring mechanisms.
- Remove blockers, manage risks, and communicate progress, trade-offs, and outcomes clearly to senior leadership.
- Define structure and clarity in a greenfield environment where processes, standards, and systems are still evolving.
- Ensure successful integration of AI capabilities into production-grade visualization workflows and services.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.
- 7+ years of software engineering experience with at least 3+ years in a technical leadership or engineering management role.
- Proven experience delivering complex, production-grade distributed systems or platform services.
- Hands-on experience building or leading teams delivering AI/ML-powered products, including LLMs, agents, or recommendation systems.
- Strong understanding of LLMs, agentic workflows, and AI system evaluation methodologies.
- Solid background in cloud-native architectures, APIs, CI/CD, testing, and Agile development practices.
- Experience defining engineering standards and scaling teams in ambiguous or greenfield environments.
- Strong leadership and communication skills with the ability to influence across technical and non-technical stakeholders.
- Bonus: Experience with MCP architectures, agent orchestration frameworks, or composable AI systems.
- Bonus: Exposure to data platforms, ML infrastructure, or visualization/graphics technologies (2D/3D, CAD, BIM).
- Bonus: Experience collaborating with applied AI or research teams to bring models into production.
- Competitive compensation including base salary, bonus, and equity opportunities (CAD 140,000–205,700 range, depending on experience)
- Comprehensive health, dental, and vision insurance
- Stock grants and performance-based incentive compensation
- Remote and hybrid flexibility within Canada
- Generous PTO, parental leave, and wellbeing support programs
- Learning and development support, including tuition reimbursement
- Opportunity to build and lead a new AI/agentic platform from the ground up
- Work at the intersection of AI, 3D visualization, and large-scale engineering systems
- Inclusive, innovation-driven culture focused on creativity and impact.
Requirements:
Benefits:
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Date Posted
07/03/2026
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