Software Architect, AI/ML

Job Requisition ID # 25WD94058 25WD94058, Software Architect, AI/ML L'affichage de poste en français suivra / The French posting follows 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 Nimbus Data Systems'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 _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 25WD94058, Architecte logiciel, IA/ML Présentation du poste Si vous aimez développer des systèmes concrets utilisés par de vrais clients - et que les modèles de langage à grande échelle (LLM), le RAG, le MCP et les architectures agentiques vous passionnent véritablement - ce poste est fait pour vous. L'équipe Applied AI de la division Data and Process Management (DPM) d'Nimbus Data Systems développe des agents IA cloud-native qui rendent nos workflows de gestion des données 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 où vous concevrez des modèles de plateforme de base et écrirez également du code qui sera déployé en production. Nous recherchons un développeur moderne : ambitieux, curieux et pragmatique - quelqu'un qui a déjà déployé en production des applications d'IA cloud-native évolutives et qui souhaite passer au niveau supérieur. Vous possédez peut-être une expertise dans les applications GenAI, ou vous avez peut-être déployé à grande échelle des applications traditionnelles d'apprentissage automatique (recommandations, prévisions, détection d'anomalies) et êtes prêt à vous lancer pleinement dans les architectures agentiques. Dans tous les cas, vous développez en privilégiant la fiabilité, la qualité et l'impact. Responsabilités Concevoir et développer des services cloud-native évolutifs et sécurisés, ainsi que des workflows d'IA agentique fonctionnant en production Gérer l'architecture GenAI/ML pour les systèmes agentiques en production : utilisation des outils, orc