Job Description

Job Requisition ID #
25WD94061
25WD94061, Software Architect, Applied AIFrench translation to follow!/Traduction francaise a suivre!
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.

ResponsibilitiesArchitect 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 QualificationsBachelor'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 QualificationsDeep 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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25WD94061, Architecte logiciel, IA appliquee
Apercu du poste
Si vous aimez creer des systemes reels utilises par de vrais clients et que vous etes passionne par les LLM, les RAG, les MCP et les architectures agentiques, ce poste est fait pour vous.
L'equipe Applied AI de l'organisation Data and Process Management (DPM) d'Autodesk fournit des agents IA natifs du cloud qui rendent nos workflows de gestion des donnees produit (PDM) et de gestion du cycle de vie des produits (PLM) plus intelligents et plus faciles. Il s'agit d'un poste d'architecte pratique dans lequel vous concevrez des modeles de plate-forme de base et ecrirez egalement du code qui sera utilise en production.
Nous recherchons un developpeur moderne : ambitieux, curieux et pragmatique, qui a deja deploye des applications d'IA cloud natives et evolutives en production et qui souhaite passer au niveau superieur. Vous avez peut-etre une expertise dans les applications GenAI, ou vous avez peut-etre deja deploye des applications traditionnelles de machine learning (recommandations, previsions, detection d'anomalies) a grande echelle et etes pret a vous lancer a fond dans les architectures agentiques. Dans tous les cas, vous construisez dans un souci de fiabilite, de qualite et d'impact.
ResponsabilitesConcevoir et construire des services cloud natifs evolutifs et securises ainsi que des workflows d'IA agentique qui fonctionnent en production Maitriser l'architecture GenAI/ML pour les systemes agentics de production : utilisation des outils, orchestration, etat/memoire, routage et workflows en plusieurs etapes Definir la strategie du modele en matiere de prompting, de recuperation (RAG) et de reglage fin, en faisant des compromis sur la base de criteres mesurables tels que la qualite, la latence, la securite et le cout. Standardiser les integrations d'outils/de contextes dans les systemes internes a l'aide de modeles bases sur MCP (ou d'approches equivalentes), afin de permettre aux equipes de livrer 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 pratiques pour toutes les equipes Travailler en etroite collaboration avec les responsables des produits, de la securite/confidentialite et de l'ingenierie afin de fournir des fonctionnalites a fort impact

Qualifications minimalesLicence 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 natifs en production (systemes distribues, API, services a forte intensite de donnees, fiabilite et operations) Plus de 4 ans d'experience dans la mise en production de systemes bases sur l'IA/l'apprentissage automatique Applications cloud traditionnelles d'apprentissage automatique (pipelines de formation, deploiement, surveillance, iteration) Systemes bases sur le LLM (RAG, MCP, workflows d'agents, modeles affines) Experience avec MCP ou des modeles standardises similaires pour connecter des modeles a des outils et a un contexte Experience dans le deploiement et la maintenance fiables d'applications d'IA en production, la surveillance des performances et l'amelioration au fil du temps Maitrise de Python/TypeScript/Java avec de solides connaissances fondamentales 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 souhaiteesExperience 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 en matiere de plateformes (conteneurs, Kubernetes, CI/CD, observabilite) Experience dans les logiciels PLM/PDM, de fabrication, de CAO ou de workflow d'entreprise Contributions open source, publications ou conferences liees aux systemes distribues, aux systemes ML ou GenAI
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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!
Salary transparency
Salary is one part of Autodesk's competitive compensation package. For Canada-BC based roles, we expect a starting base salary between $161,300 and $236,500. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
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