Principal Embedded Engineer, AI Solutions

Job ID26WD
101876

Job

Requisition r Principal Embedded Engineer, AI Solutions

Position Overview Autodesk Technical Advisory is seeking a highly technical and customer-focused Senior Principal Embedded Engineer, AI Solutions to join our new Embedded Engineering (forward-deployed engineering) team. You will work directly alongside strategic Autodesk customers to discover high-value workflows, model the data those workflows depend on, and build the AI systems for their Design & Make workflows to enable customer’s measurable business outcomes.

You will move fluidly from understanding a customer's workflow and architecture to writing code. You will spend your weeks writing production code to build agents and orchestration, retrieval and graph services, connectors and APIs - inside customer environments, alongside customer engineers. What you ship is concrete: AI agents, MCP servers and tools, domain and semantic models, knowledge-graph extensions, retrieval and context-resolution pipelines, integrations into ERP, PLM, BIM, enterprise data platforms, and eval harnesses to move new capabilities into production.

Unlike traditional project delivery, Embedded Engineering works deeply inside customer environments, connecting Autodesk technology and data with the rest of the enterprise. Insights developed through customer work will be translated into reusable agents, connectors, reference architectures, engineering patterns, and direct product feedback that shapes Autodesk's platform roadmap.

The successful candidate combines strong software and AI engineering skills with curiosity, customer empathy, business judgment, and the ability to operate independently when the problem is not yet well defined. This role is engagement-driven with travel up to 75% during active engagements, including extended periods working onsite with customers.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed below.

Responsibilities Discover Workflows and Own the Outcome Partner with customer executives, business leaders, and technical teams to translate transformation objectives, operational KPIs, sustainability commitments, and digital initiatives into measurable, AI-enabled workflow outcomes

Lead co-innovation with customers to find high-value workflows, decision bottlenecks, data requirements, and integration opportunities, turning ambiguous business challenges into clear technical directions

Analyze end-to-end workflows across Autodesk and non-Autodesk systems to pinpoint friction, process inefficiency, data gaps, and the places where AI and agents genuinely change the economics

Own technical execution end-to-end - rapid prototype through architecture, build, integration, testing, governance, production deployment guidance, and adoption - with accountability for customer impact

Sequence the work and decide what not to build. Make explicit trade-offs between scope, speed, and durability, and defend them to both customer and Autodesk stakeholders

Make Data and Context AI-Ready Assess customer data readiness - fragmented sources, ownership, quality, lineage, metadata, governance, permissioning, and integration constraints - required to support trusted AI and agentic workflows

Structure and connect design intent, project, product, and asset data, along with requirements, supporting evidence, approvals, decisions, and dependencies, into trusted AI-ready data and context models that enable reasoning, retrieval, and agentic action

Design ontologies, semantic layers, and knowledge graphs that business users recognize and agents can act on, including entity resolution across source systems, schema mapping, and permission…