Position Overview
If you love building scalable cloud-native systems that power customer-facing experiences, this role is for you. The Applied AI team in Autodesk's Data and Process Management (DPM) organization ships cloud-native services that power AI agents and AI-driven workflows that make our Product Data Management (PDM) and Product Lifecycle Management (PLM) workflows smarter and easier. This is a hands-on engineering role where you'll design and implement services and integrations.
We're looking for a modern builder:
Ambitious, Curious, and Practical—someone who has already shipped Scalable, Cloud-Native services to production and wants to level up further. You are not expected to have an AI/ML background—but you will partner closely with AI/ML engineers, and you should be comfortable integrating with AI services and operating them safely in production. AI-assisted engineering (how we deliver):
We use modern AI coding agents (e.g., Cursor Agent, Claude Code, Codex or similar) as accelerators for planning, implementation, debugging, and documentation—but you own correctness, security, and maintainability.
Responsibilities
Build and operate scalable, secure cloud-native services that support AI-powered product features (APIs, service orchestration, background processing, and integrations)
Contribute to feature design by translating design and product requirements into engineering tasks
Maintain a high standard of code quality by following best practices around testing, code reviews, and design patterns
Partner with AI/ML engineers to integrate Agentic AI features while ensuring production-grade scalability and safety
Partner with product managers, architects, developers, and data scientists to bring AI features to life in Autodesk products
AI-assisted delivery:
Use AI coding agents to accelerate delivery of production features and fixes, with rigorous verification (tests, CI, code review) and security-aware usage
Minimum Qualifications
Bachelor's or Master's degree in Computer Science, Software Engineering, or equivalent practical experience
5+ years building cloud-native software in production (distributed systems, APIs, data-intensive services, reliability and operations)
Strong expertise in API design (REST, Graph
QL) and service-to-service communication
Practical experience building and operating production applications on AWS/Azure/GCP and modern platform practices (containers, Kubernetes, CI/CD, observability)
Proficiency in Java/Python/Typescript with strong engineering fundamentals (testing, code quality, performance, security)
Excellent technical writing and communication skills for documentation, presentations, and influencing cross-functional teams
Demonstrated experience using AI coding tools to ship production systems, and the engineering judgment to verify and correct AI output (code review rigor, debugging skill, ownership of correctness)
Preferred Qualifications
Experience building AI applications in the CAD or manufacturing domain
Hands-on experience of delivering AI/ML-powered system in production . This can include:
Traditional ML cloud applications (training pipelines, deployment, monitoring, iteration), and/or LLM-based systems (RAG, MCP, Agent workflows, fine-tuned models).
Experience with MCP or similar standardized patterns for connecting models to tools and context
Familiarity with machine learning algorithms, development lifecycles, and the tools and platforms used to build, deploy, and scale ML systems
Contributions to open-source AI projects or publications in the field
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25WD94057, Développeur logiciel senior, IA appliquée
Aperçu du poste
Si vous aimez créer des systèmes cloud natifs évolutifs qui optimisent l'expérience client, ce poste est fait pour vous. L'équipe d'IA appliquée de l'organisation Data and Process Management (DPM) d'Autodesk fournit des services cloud natifs qui alimentent des agents IA et des workflows basés sur l'IA qui rendent nos workflows de gestion des données produit (PDM) et de gestion du cycle de vie des produits (PLM) plus intelligents et plus…
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