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Position Overview

If you love building real systems that real customers use-and you get genuinely excited about LLMs, RAG, MCP, and agentic architectures-this role is for you.

The Applied AI team in Autodesk's Data and Process Management (DPM) organization ships Cloud-Native AI agents that make our Product Data Management (PDM) and Product Lifecycle Management (PLM) workflows smarter and easier. This is a hands-on architecture role where you'll design core platform patterns and also write code that lands in production. We're looking for a modern builder: Ambitious, Curious, and Practical-someone who has already shipped scalable, Cloud-Native AI Applications to production and wants to level up further. You might have expertise in GenAI Applications, or you might have shipped traditional Machine Learning applications (recommendations, forecasting, anomaly detection) at scale and are ready to go all-in on agentic architectures. Either way, you build for reliability, quality, and impact.

Responsibilities

• Architect and build scalable, secure cloud-native services and Agentic AI workflows that run in production

• Own the GenAI/ML architecture for production agentic systems: tool-use, orchestration, state/memory, routing, and multi-step workflows

• Define model strategy across prompting, retrieval (RAG), and fine-tuning-making tradeoffs using measurable quality, latency, safety, and cost

• Standardize tool/context integrations across internal systems using MCP-based patterns (or equivalent approaches), enabling teams to ship faster on a shared foundation

• Establish evaluation + observability standards (regression tests, monitoring, feedback loops)

• Set technical direction via reference architectures, best practices, and hands-on technical guidance across teams

• Partner closely with Product, Security/Privacy, and Engineering leaders to deliver high-impact features

Minimum Qualifications

• Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or equivalent practical experience

• 8+ years building cloud-native software in production (distributed systems, APIs, data-intensive services, reliability and operations)

• 4+ years delivering AI/ML-powered system in production

• Traditional ML cloud applications (training pipelines, deployment, monitoring, iteration)

• LLM-based systems (RAG, MCP, Agent workflows, fine-tuned models)

• Experience with MCP or similar standardized patterns for connecting models to tools and context

• Experience with deploying and maintaining AI Applications in production reliably, monitoring performance, and improving over time

• Proficiency in Python/TypeScript/Java with strong engineering fundamentals (testing, code quality, performance, security)

• Strong communication skills: you can explain tradeoffs clearly and influence decisions without relying on authority

Preferred Qualifications

• Deep experience designing AI evaluation pipelines and production release strategies for AI Applications

• Experience with AWS/Azure/GCP and modern platform practices (containers, Kubernetes, CI/CD, observability)

• Experience in PLM/PDM, manufacturing, CAD, or enterprise workflow software

• Open-source contributions, publications, or talks related to distributed systems, ML or GenAI systems

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25WD94058, Architecte logiciel, IA/ML

Presentation du poste

Si vous aimez developper des systemes concrets utilises par de vrais clients - et que les modeles de langage a grande echelle (LLM), le RAG, le MCP et les architectures agentiques vous passionnent veritablement - ce poste est fait pour vous.

L'equipe Applied AI de la division Data and Process Management (DPM) d'Autodesk developpe des agents IA cloud-native qui rendent nos workflows de gestion des donnees produit (PDM) et de gestion du cycle de vie des produits (PLM) plus intelligents et plus simples. Il s'agit d'un poste d'architecte sur le terrain ou vous concevrez des modeles de plateforme de base et ecrirez egalement du code qui sera deploye en production. Nous recherchons un developpeur moderne : ambitieux, curieux et pragmatique - quelqu'un qui a deja deploye en production des applications d'IA cloud-native evolutives et qui souhaite passer au niveau superieur. Vous possedez peut-etre une expertise dans les applications GenAI, ou vous avez peut-etre deploye a grande echelle des applications traditionnelles d'apprentissage automatique (recommandations, previsions, detection d'anomalies) et etes pret a vous lancer pleinement dans les architectures agentiques. Dans tous les cas, vous developpez en privilegiant la fiabilite, la qualite et l'impact.

Responsabilites

• Concevoir et developper des services cloud-native evolutifs et securises, ainsi que des workflows d'IA agentique fonctionnant en production

• Gerer l'architecture GenAI/ML pour les systemes agentiques en production : utilisation des outils, orchestration, etat/memoire, routage et workflows en plusieurs etapes

• Definir la strategie de modelisation pour les prompts, la recherche (RAG) et le reglage fin, en effectuant des compromis sur la base de criteres mesurables de qualite, de latence, de securite et de cout

• Standardiser les integrations d'outils et de contextes entre les systemes internes a l'aide de modeles bases sur MCP (ou d'approches equivalentes), permettant ainsi aux equipes de deployer plus rapidement sur une base commune

• Etablir des normes d'evaluation et d'observabilite (tests de regression, surveillance, boucles de retroaction)

• Definir l'orientation technique via des architectures de reference, des bonnes pratiques et des conseils techniques concrets a l'echelle des equipes

• Travailler en etroite collaboration avec les responsables Produit, Securite/Confidentialite et Ingenierie pour fournir des fonctionnalites a fort impact

Qualifications minimales

• Licence ou master en informatique, apprentissage automatique, science des donnees, ou experience pratique equivalente

• Plus de 8 ans d'experience dans le developpement de logiciels cloud-native en production (systemes distribues, API, services a forte intensite de donnees, fiabilite et operations)

• Au moins 4 ans d'experience dans la mise en production de systemes bases sur l'IA/ML

• Applications cloud ML traditionnelles (pipelines d'entrainement, deploiement, surveillance, iteration)

• Systemes bases sur les LLM (RAG, MCP, workflows d'agents, modeles affines)

• Experience avec MCP ou des modeles standardises similaires pour connecter des modeles a des outils et au contexte

• Experience dans le deploiement et la maintenance fiables d'applications IA en production, la surveillance des performances et l'amelioration au fil du temps

• Maitrise de Python/TypeScript/Java avec de solides bases en ingenierie (tests, qualite du code, performances, securite)

• Solides competences en communication : vous etes capable d'expliquer clairement les compromis et d'influencer les decisions sans vous appuyer sur votre autorite

Qualifications souhaitees

• Experience approfondie dans la conception de pipelines d'evaluation de l'IA et de strategies de mise en production pour les applications d'IA

• Experience avec AWS/Azure/GCP et les pratiques modernes des plateformes (containers, Kubernetes, CI/CD, observabilite)

• Experience en PLM/PDM, fabrication, CAO ou logiciels de workflow d'entreprise

• Contributions open source, publications ou conferences liees aux systemes distribues, au ML ou aux systemes GenAI

Learn More

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.

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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!

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