Principal Embedded Engineer, AI Solutions

Pubblicato il 08-11-2026 · Autodesk · Roma

h3Principal Embedded Engineer, AI Solutions /h3 h3Position Overview /h3 pAutodesk Technical Advisory is seeking a highly technical and customer-focused bEmbedded Engineer, AI Solutions /b to join our new Embedded Engineering (forward-deployed engineering) team. /p pYou will work directly alongside strategic Autodesk customers to discover high-value workflows, model the bdata /b those workflows depend on, and build the bAI systems /b for their Design Make workflows to enable customer’s measurable business outcomes. /p pYou 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. /p pUnlike 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. /p pThe 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 bup to 75% /b during active engagements, including extended periods working onsite with customers. /p pNot all strong candidates will meet every single qualification as listed below. /p h3Responsibilities /h3 h3Discover Workflows and Own the Outcome /h3 ul lipPartner 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. /p /li lipLead co-innovation with customers to find high-value workflows, decision bottlenecks, data requirements, and integration opportunities, turning ambiguous business challenges into clear technical directions. /p /li lipAnalyze 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. /p /li lipOwn technical execution end-to-end - rapid prototype through architecture, build, integration, testing, governance, production deployment guidance, and adoption - with accountability for customer impact. /p /li lipSequence 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 stakeholder /p /li /ul h3Make Data and Context AI-Ready /h3 ul lipAssess customer data readiness - fragmented sources, ownership, quality, lineage, metadata, governance, permissioning, and integration constraints - required to support trusted AI and agentic workflows. /p /li lipStructure 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. /p /li lipDesign 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 models that survive contact with enterprise reality. /p /li /ul h3Build and Ship Production AI /h3 ul lipDesign and build production-grade AI-enabled workflows, agents, applications, and integrations that connect Autodesk products and platform capabilities with customers' broader enterprise technology environments. /p /li lipBuild the retrieval and context layer these systems depend on - hybrid search, graph-grounded retrieval, tool interfaces, and MCP servers that expose governed enterprise context to agents safely. /p /li lipMake quality measurable. Build evaluation harnesses, golden datasets, guardrails, tracing, and observability so that agent behavior is testable before launch and monitored after it, and so that quality regressions and drift are caught in production rather than reported by users. /p /li lipApply strong engineering practices across architecture, code quality, security, permissions, reliability, observability, testing, performance, and maintainability,



adapting quickly to complex and constrained customer environments. /p /li lipDefine the operating model for what you build - runbooks, ownership, escalation, and cost - and hand it over cleanly to customer teams or Autodesk services so value persists after the engagement ends. /p /li /ul h3Feed the Product and Build Reusable IP /h3 ul lipAct as a frontline product discovery mechanism, translating customer learning into prioritized product requirements, platform capability gaps, roadmap recommendations, and opportunities for feature or API acceleration. /p /li lipConvert customer-specific learning into reusable Autodesk value - reference architectures, agent and MCP patterns, connectors, ontology templates, graph models, reusable code, evals, and technical playbooks - that reduces the cost of every engagement that follows. /p /li /ul h3Build an AI-Native Practice /h3 ul lipDesign, build, and operationalize the agents, workflows, and automations that make the Embedded Engineering organization itself faster and more effective, measuring success by both customer impact and scalable internal leverage. Continuously look for manual work to replace with agentic systems and reusable internal tooling. /p /li lipStay at the frontier. Maintain working knowledge of new model capabilities, agent implementation patterns, and AI product development stacks, and bring what's genuinely useful into practice. /p /li lipServe as a trusted technical advisor across the boundary - partnering with customer engineers, architects, and business leaders, and with Autodesk Sales, Customer Success, Technical Advisory, Product, and Platform teams - to unblock delivery and help teams navigate ambiguity, trade-offs, risk, and changing requirements. /p /li /ul h3Minimum Qualifications /h3 ul lip6+ years building and operating production software, including 2+ in a customer-facing or embedded role (forward-deployed or founding engineer). CS/Engineering degree or equivalent hands-on experience. /p /li lipFull-stack range. Expert Python plus one of TypeScript, Java, or C# - comfortable across backend, data pipelines, integrations, and a lightweight React surface when a workflow needs one. /p /li lipCloud fluency in Azure or AWS: containers, serverless, managed data stores, and identity and networking inside customer-governed environments (e.g., infrastructure as code with Terraform, Bicep, or CloudFormation), with strong API, distributed-systems, CI/CD, and observability fundamentals. /p /li lipAgentic systems in production. You've built and run single- and multi-agent systems - tool schemas, memory, human-in-the-loop checkpoints - on a modern orchestration framework (e.g., LangGraph, LangChain, Bedrock AgentCore, etc), MCP making practical cost and latency trade-offs (e.g., model selection, caching). /p /li lipEvaluation as engineering. You build golden datasets and eval harnesses from real customer data, and you measure groundedness, task success, and retrieval quality using standard tooling (e.g., RAGAS, LangSmith, Langfuse). /p /li lipRetrieval and data readiness. You've built retrieval systems end-to-end (chunking, embeddings, hybrid search, reranking) over a vector store and can assess and fix messy enterprise data - lineage, permissions, entity resolution, schema mapping. /p /li lipKnowledge architecture for AI. You model domain semantics into AI-ready context - ontologies, semantic layers, knowledge graphs - and ground agents in it via GraphRAG or equivalent, using at least one graph technology (e.g., Azure Cosmos DB Gremlin, Amazon Neptune, Neo4j, or equivalent) and its query language (e.g. Gremlin, Cypher, SPARQL). /p /li lipOwnership under ambiguity. You take greenfield customer problems from framing to production and measured outcomes and can explain a non-deterministic system with equal credibility to an engineer and an executive. /p /li /ul h3Work arrangement /h3 ul liYou'll work with one customer at a time on focused engagements, for specified duration, on-site at customer locations that may be outside your home country, with travel of up to 75%, subject to any immigration or other requirements (averages likely to be lower across the whole year). You remain an Autodesk employee throughout, and the intention is that Autodesk's policies, benefits, and time off apply on every assignment.



Some customers may have their own onboarding, safety, security or other requirements, which will be discussed with you at the time. /li /ul h3Preferred Qualifications /h3 ul lipDomain fluencyin AECO, with the ability to ramp quickly on design-to-construction-to-operations processes. /p /li lipAutodesk platform fluency:Autodesk Platform Services (APS), AEC Data Model API, Autodesk Construction Cloud and Common Data Environment (CDE) concepts, Forma, Fusion, Flow, and Autodesk data models. /p /li lipEnterprise systems of record integration:ERP, PDM, PLM, BIM, project controls, cost, scheduling, and asset management, plus enterprise data platforms (data lakes, warehouses, Lakehouse, analytics platforms). /p /li lipConstrained enterprise deployment:customer VPCs, private, on-prem, or air-gapped environments, data residency and sovereignty requirements, SSO/SCIM, and formal security review processes. /p /li lipAI-native builder practice:routine use of AI coding agents, harnesses, and automation to multiply individual and team throughput, including spec-driven development: writing clear specs and executable acceptance criteria for coding agents, keeping changes small and reviewable, and verifying AI-generated code through automated tests and review. /p /li lipProduction trust and safety: prompt-injection defense, permission-aware retrieval, provenance and audit trails, versioning, staged rollout, monitoring, and incident response. /p /li /ul h3Ideal Candidate /h3 ul lipbShips. /b Has put things into production and can name the metric that moved. /p /li lipbTreats evaluation as part of the product. /b Assumes agents will fail and builds evaluation, observability, and guardrails before scaling. /p /li lipbIs fluent in both worlds. /b Understands the customer’s business process and the failure modes of non-deterministic systems. /p /li lipbThinks in reusable patterns. /b Instinctively asks, “How does this become an asset for the next ten customers?” /p /li lipbMoves fast without leaving a mess /b . Knows when speed matters, when engineering rigor matters, and how to make that trade-off deliberately. /p /li /ul h3Learn More / En savoir plus /h3 h3About Autodesk /h3 pWelcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. /p pWe take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. /p pWhen you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us! /p h3À propos d’Autodesk /h3 pBienvenue chez Autodesk ! Nos logiciels créent chaque jour des choses extraordinaires : des bâtiments les plus écologiques aux voitures les plus propres, en passant par les usines les plus intelligentes et les films à succès. Nous aidons les innovateurs à concrétiser leurs idées, transformant non seulement la façon dont les choses sont fabriquées, mais aussi ce qui peut l’être. /p pNous sommes très fiers de notre culture chez Autodesk ; elle est au cœur de tout ce que nous faisons. Notre culture guide notre façon de travailler et de nous comporter les uns envers les autres, influence nos interactions avec nos clients et nos partenaires, et définit notre image au monde. /p pEn tant qu’Autodeskien, vous pouvez accomplir un travail significatif qui contribue à bâtir un monde meilleur, conçu et réalisé pour tous. Prêt à façonner le monde et votre avenir ? Rejoignez-nous ! /p h3Salary transparency / Transparence Salariale /h3 pSalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. /p h3Belonging / appurtenance /h3 pWe take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: /p pNous sommes fiers de cultiver une culture d’appartenance où chacun peut s’épanouir. Pour en savoir plus, cliquez ici: /p h3In-Person Onboarding and Identity Verification /h3 h3Intégration en présentiel et vérification d’identité /h3 pThis role may require in-person onboarding and/or in-person ID verification. /p pCe poste peut nécessiter une intégration et/ou une vérification d'identité en présentiel. /p #J-18808-Ljbffr
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