Associate Data Engineer

Autodesk Autodesk · Enterprise · Singapore

Autodesk is seeking an AI Data Engineer to modernize their Technology Vendor Management platform using data engineering, AI agents, automation, dashboards, and document intelligence. The role involves building data pipelines, integrating systems, designing data models, supporting AI agents for data reconciliation and risk assessment, applying document intelligence to contracts, building dashboards, and creating prototypes for AI-enabled workflows. The candidate will work with various data sources and partner with business and technical teams, following strong engineering practices including responsible AI.

What you'd actually do

  1. Architect and solution to modernize the vendor management platform solution
  2. Build and improve data pipelines, APIs, connectors, and integrations across vendor management systems
  3. Pull and combine data from Snowflake, OneTrust, Dun & Bradstreet, contract/CLM systems, sourcing/procurement systems, finance/AP systems, security/risk platforms, AI governance sources, and legacy vendor management data
  4. Support AI agents that reconcile vendor data, identify missing fields, classify products and instances, summarize vendor risk, flag AI usage, support renewal readiness, and generate business review insights
  5. Apply document intelligence to contracts, SOWs, supplier documents, onboarding materials, compliance records, and renewal documents

Skills

Required

  • 3–5+ years of experience in data engineering, analytics engineering, AI-enabled automation, systems integration, business systems, or a related technical role
  • Strong Python skills for automation, scripting, data processing, API interaction, AI workflows, and data validation
  • Strong SQL experience and comfort working with relational data, warehouse tables, curated views, and data quality logic
  • Experience with modern data platforms such as Snowflake, Databricks, or similar
  • Experience building or maintaining data pipelines, ETL/ELT workflows, APIs, connectors, and integration jobs
  • Experience building dashboards or reporting solutions in Power BI, Tableau, Looker, Mode, or similar tools
  • Working knowledge of generative AI, AI agents, RAG, prompt engineering, document intelligence, bots, or workflow automation
  • Hands-on experience using coding agents or AI development tools such as Cursor, Claude Code, Codex, or similar
  • Ability to work with messy, incomplete, or conflicting data and turn it into usable, trusted information
  • Ability to translate ambiguous business needs into clear technical requirements, data models, prototypes, dashboards, workflows, and integration designs
  • Strong communication, documentation, collaboration, and troubleshooting skills

Nice to have

  • AI governance sources

What the JD emphasized

  • AI agents
  • document intelligence
  • agentic workflows
  • generative AI
  • responsible AI

Other signals

  • AI agents
  • document intelligence
  • agentic workflows
  • generative AI