Aperçu du PosteL'équipe chargée des données de la plateforme Architecture, Ingénierie et Construction (AEC) d'Autodesk recherche un architecte logiciel expérimenté. À ce poste, vous serez chargé de concevoir et de développer les systèmes et services qui sous-tendent les capacités de données transversales au sein de notre organisation, ainsi que leur intégration aux produits AEC actuels et futurs d'Autodesk. Cette opportunité vous convient si vous êtes passionné par la conception d'architectures système complexes et si l'idée de transformer la manière dont les professionnels de l'AEC utilisent les données pour acquérir des connaissances, éclairer leurs décisions et mener à bien leurs projets vous enthousiasme. Vous collaborerez avec les architectes logiciels de l'équipe AEC Platform Data ainsi qu'avec ceux des applications et services de premier plan au niveau mondial pour la conception et la construction de bâtiments et d'infrastructures, notamment Revit, Civil 3D, AutoCAD, Autodesk Construction Cloud et Autodesk Forma. Vous définirez l'architecture logicielle qui réinvente le flux continu des données AEC (par exemple, modèles 3D, plans 2D, suivi des problèmes, coûts, flux de capteurs, etc.) et des informations tout au long du cycle de vie d'un actif bâti.Position OverviewAutodesk's Architecture, Engineering, and Construction (AEC) Platform Data organization is seeking an experienced Software Architect. In this role, you will design and build the systems and services that power cross‐cutting data capabilities across our organization and integrate them with Autodesk's existing and future AEC products. You will be at the forefront of designing the next generation of capabilities for Autodesk Forma Industry Cloud and will collaborate with architects from Revit,



Civil 3D, AutoCAD, Autodesk Construction Cloud, and Autodesk Forma to reimagine the continuous flow of AEC Data throughout the lifecycle of a built asset.ResponsibilitiesDefine and evolve cross‐team architecture for data platforms and services in the AEC Platform Data organizationEstablish standards, reference architectures, and reusable components; drive adoption across teamsLead architectural governance, maintain ADRs, and run design reviews across teamsDesign and guide implementation of distributed systems and data platforms (APIs, schemas, event streams; batch and streaming)Ensure reliability, security, and performance; define SLOs and drive observability (metrics, tracing, logging)Partner across product and platform teams to align roadmaps and integrationsCommunicate architectures with explicit views and diagrams (e.G., C4) and executive‐ready narrativesMinimum QualificationsBachelor's degree in computer science or equivalent experience10+ years as a Software Architect in data‐intensive cloud environmentsExperience with cloud services, API design, database architecture, and big‐data tools and frameworksStrong understanding of data modeling, management,



and processing principlesExcellent knowledge of software design and architectureDemonstrated ability to influence without authority and drive cross‐team alignmentMastery of conveying complex ideas concisely and impactfullyExcellent verbal, written, and presentation skills to communicate architecture strategy to stakeholdersAbility to collaborate with a global teamPreferred QualificationsExperience in the Architecture, Engineering, and Construction industryCloud services experience with AWS (EC2, ECS, Lambda, API Gateway, S3, DynamoDB, RDS)Database architecture: Snowflake, relational, NoSQLEvent‐driven and streaming architectures (Kafka or Kinesis; exactly‐once processing; schema evolution with Avro/Protobuf)API and service design: REST, gRPC, GraphQL; versioning and backwardcompatibility at scaleDistributed systems and data platforms: microservices, service mesh, event‐driven architecture, streaming processingObservability/SRE: OpenTelemetry, distributed tracing, metrics/SLOs for data servicesKnowledge graphs and semantic modeling (RDF/OWL, property graphs, feature stores for ML)Experience designing and integrating AI systems and agents in enterprise environments; familiarity with Model Context Protocol (MCP) and plugin ecosystemsHands‐on RAG architectures (embeddings, vector stores, chunking, re‐ranking, retrieval evaluation)Experience with agentic orchestration frameworks (e.G., LangGraph, Semantic Kernel) and function tool calling; Assistants‐style APIsData governance, privacy, and safety for AI systems (PII handling, prompt‐injection defenses, content filtering, auditability)LLM observability and evaluation (offline/online evaluations, guardrails, prompt/version management, telemetry with LangSmith, PromptFlow, OpenTelemetry)Domain‐specific AI for AEC (extracting structure from BIM/IFC and construction documents; CAD/point‐cloud processing) – nice to have #J-18808-Ljbffr

📌 Architecte Logiciel Pour Les Données Aec (Toronto)
🏢 Autodesk
📍 Toronto