Principal Embedded Engineer, AI Solutions
Barcelona
Indefinido
Completa
Salario a convenir
Sistemas
Automoción 
1 vacantes
09/11/2026
Descripción del puesto
Autodesk Technical Advisory is seeking a highly technical and customer-focused 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.
Requisitos mínimos
Titulación
Universidad - Grado / Licenciatura
Experiencia mínima
+5 años de experiencia
Otros requisitos
Minimum Qualifications
6+ 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.
Full-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.
Cloud 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.
Agentic 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).
Evaluation 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).
Retrieval 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.
Knowledge 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).
Ownership 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.
Work arrangement
You'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.
Preferred Qualifications
Domain fluency in AECO, with the ability to ramp quickly on design-to-construction-to-operations processes.
Autodesk 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.
Enterprise 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).
Constrained enterprise deployment: customer VPCs, private, on-prem, or air-gapped environments, data residency and sovereignty requirements, SSO/SCIM, and formal security review processes.
AI-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.
Production trust and safety: prompt-injection defense, permission-aware retrieval, provenance and audit trails, versioning, staged rollout, monitoring, and incident response.
Ideal Candidate
Ships. Has put things into production and can name the metric that moved.
Treats evaluation as part of the product. Assumes agents will fail and builds evaluation, observability, and guardrails before scaling.
Is fluent in both worlds. Understands the customer’s business process and the failure modes of non-deterministic systems.
Thinks in reusable patterns. Instinctively asks, “How does this become an asset for the next ten customers?”
Moves fast without leaving a mess. Knows when speed matters, when engineering rigor matters, and how to make that trade-off deliberately.
Información adicional
Welcome 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.
We 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.
When 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!
