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 stakeholder
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 models that survive contact with enterprise reality.
Build and Ship Production AI
Design and build production-grade AI-enabled workflows, agents, applications, and integrations that connect Autodesk products and platform capabilities with customers' broader enterprise technology environments.
Build 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.
Make 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.
Apply strong engineering practices across architecture, code quality, security, permissions, reliability, observability, testing, performance, and maintainability, adapting quickly to complex and constrained customer environments.
Define 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.
Feed the Product and Build Reusable IP
Act 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.
Convert 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.
Build an AI-Native Practice
Design, 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.
Stay 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.
Serve 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.
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.
#AC-1
Learn More / En savoir plus
About Autodesk
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!
À propos d’Autodesk
Bienvenue 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.
Nous 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.
En 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 !
Salary transparency / Transparence Salariale Salary 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.
- Belonging / appurtenance
- We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging
Nous sommes fiers de cultiver une culture d’appartenance où chacun peut s’épanouir. Pour en savoir plus, cliquez ici: https://www.autodesk.com/company/global-belonging
In-Person Onboarding and Identity Verification
Intégration en présentiel et vérification d’identité
This role may require in-person onboarding and/or in-person ID verification.
Ce poste peut nécessiter une intégration et/ou une vérification d'identité en présentiel.
