Software Development Manager, MCP/AI
Job Requisition ID #
26WD98804 Position Overview
Autodesk 's Visualization Solutions power high-performance 2D and 3D visualization experiences across our product portfolio. We are standing up a new team in Canada to bring agentic AI to that experience — expanding our Viewer MCP from a basic capability layer into a production-grade agentic platform that lets users interact with their models in natural language and get intelligent assistance directly inside Autodesk products.
As the Software Development Manager, MCP/AI for this team, you will build it from the ground up and lead it to deliver agentic capabilities that other Visualization Solutions teams — and our customers — build on. You operate at the intersection of engineering execution, people leadership, and AI strategy. You will hire and grow a team that brings machine-learning depth new to the organization , set the technical direction for the agentic platform alongside your senior engineers, and forge the cross-team partnerships that turn it into a true platform.
Success is measured by your ability to build a high-performing team, ship reliable agentic capabilities at a predictable pace, and establish AI/ML as a durable, trusted competency across the org.
Responsibilities
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Hire, build, and grow a diverse, high-performing engineering team — including ML/AI talent new to the organization — through coaching, feedback, and performance management.
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Foster a culture of ownership, quality, experimentation, and responsible AI.
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Own delivery of team commitments: plan, prioritize, and ship the Viewer MCP and agentic capabilities predictably and at high quality.
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Set and drive the technical strategy and roadmap for the agentic platform, partnering with your Principal/Senior engineers on architecture and trust models (human-in-the-loop, review gates, traceability, confidence signaling).
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Partner across the Visualization Solutions Org — and with Product, UX, Applied AI, and other platform teams — to expose their capabilities through a shared agentic layer and align on a common direction.
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Establish how the team evaluates AI systems — quality, safety, latency, and cost — and embed evaluation into the delivery process.
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Ensure engineering best practices: code quality, testing, CI/CD, observability, and production support for AI-powered services.
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Identify risks, remove blockers, and communicate progress, trade-offs, and outcomes clearly to stakeholders and leadership.
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Define approaches in a green-field space where established procedures don't yet exist.
Minimum Qualifications
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Bachelor's or Master's in Computer Science, Computer Engineering, or equivalent experience.
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3+ years leading or managing software engineers, plus 7+ years of industry software engineering experience.
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Proven track record delivering complex, production-grade systems and services.
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Experience building or leading teams that ship AI/ML-powered products — e.g. LLM/agentic workflows, recommendation/insights systems, or ML in production.
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Working understanding of LLMs and agentic workflows, and of how to evaluate AI systems.
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Strong grounding in modern software practices: cloud-native architectures, APIs, CI/CD, automated testing, and Agile delivery.
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Excellent communication, collaboration, and stakeholder-management skills.
Preferred Qualifications
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Experience standing up or scaling a new team or a new technical competency in an organization.
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Familiarity with the Model Context Protocol (MCP), agent orchestration frameworks, or composable tool/capability architectures.
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Experience with data platforms and ML infrastructure (eval pipelines, feature/data stores, model serving) and with cloud (AWS, containers).
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Familiarity with 2D/3D visualization, CAD/BIM, rendering, or graphics technologies.
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Experience partnering with Applied AI / research teams to bring models into production.
The Ideal Candidate
You are an engineering leader who pairs deliv