Principal AI Knowledge Platform Architect

Autodesk, Inc.

Town of Poland (NY)

Hybrid

PLN 238,000 - 349,000

Full time

4 days ago

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Job summary

Autodesk Consulting seeks a Principal Solution Architect to lead the evolution of its Intellectual Property platform into an enterprise-ready SaaS product powered by knowledge architecture and AI-enabled capabilities. You will design semantic models, knowledge graphs, and platform architecture across the AEC, MFG, and M&E domains, translating workflows into reusable domain models and services.

You will collaborate with product, engineering, and consulting teams to align investments with strategy

Qualifications

Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.
10+ years of experience designing and delivering complex software platforms.
Experience as a Software Architect, Product Architect, Principal Engineer, or equivalent technical leadership role.
Experience with knowledge graphs, semantic architectures, ontologies, taxonomies, graph databases, or retrieval systems.
Experience evaluating AI technologies, including LLMs, RAG architectures, intelligent assistants, or autonomous agent patterns.
Excellent written, verbal, and presentation skills.
Willingness to travel internationally up to 15%.

Responsibilities

Define and evolve the architectural vision for Workflow Advisory and related knowledge-driven platform capabilities.
Design semantic architectures, knowledge models, and knowledge graph capabilities that connect workflows, data, decisions, and insights.
Define architecture patterns enabling workflow automation, intelligent decision support, and future agentic applications.
Establish standards for knowledge representation, lifecycle management, governance, and reuse across platforms.
Translate business workflows into reusable domain models, services, and architectural patterns.
Design scalable, secure, and resilient cloud-native architectures that support enterprise and customer-facing solutions.
Ensure platform services, APIs, and knowledge assets are discoverable, composable, and consumable by AI-enabled applications.
Apply AI and LLM technologies to improve knowledge discovery, workflow execution, and advisory experiences.
Collaborate with architects and engineering responsible for ensuring architecture meets enterprise security, privacy, compliance, and SOC2 requirements.
Collaborate with product, engineering, and consulting teams to align architecture investments with business outcomes and technology strategy.
Drive adoption of architectural standards and reusable platform capabilities across teams.
Mentor engineers and architects while communicating architectural direction to senior leadership and stakeholders.