Data Engineer with AI

Job Requisition ID # 26WD100418 Data Engineer with AI , Technical Advisory Position overview Autodesk is looking for a talented Data Engineer to design, prototype, automate, and enable data-ingestion and integration solutions, and scalable data pipelines, for customer-facing engagements. This role works in Technical Advisory, at the intersection of data engineering, Autodesk technology, and technical consulting delivery. The successful candidate will build reusable tools and accelerators that streamline customer data flows, especially around Autodesk Datum, ACC, Forma, APS APIs, model-derived data, ETL processing, and modern cloud technologies. The role requires someone who can move from ambiguous customer requirements to practical working prototypes, feasibility demos, technical documentation, and reusable implementation patterns. The Data Engineer will collaborate with Technical Advisory consultants, product teams, data engineers, solution architects, project managers, and customer stakeholders to validate feasibility, reduce delivery effort, and create repeatable service offerings. What this role actually does This is not a pure internal analytics-platform role. It is a consulting-oriented technical engineering role focused on customer data workflows, Autodesk platform integrations, and reusable service accelerators. The role will also contribute to emerging AI-enabled Technical Advisory workflows, including MCP, LLM-powered data access, prompt engineering, and agentic automation. The Data Engineer will prototype secure integrations between AI agents and Autodesk/customer systems, design reusable prompts and pre-context for reliable outcomes, evaluate model behavior across technical workflows, and help turn successful AI experiments into repeatable consulting accelerators.

Design, build, and support reusable ETL tools, prototypes, and accelerators for Technical Advisory and customer-facing engagements Develop data-ingestion workflows, and data integrations for Autodesk Platforms and other modern engineering data sources Create and maintain reusable code, ETL processing tools, and configuration patterns for model-data extraction, and data-standardization workflows Support feasibility studies, demos, pilots, and proof-of-concept work for customer engagements, especially where requirements are unclear or the technical path needs validation Build proof-of-concept MCP servers, API wrappers, and integration layers that allow AI agents to query, validate, transform, or reason over customer data Design and prototype AI-enabled workflows that connect LLMs and agents with Autodesk platform data, customer data, and Technical Advisory delivery workflows Build proof-of-concept MCP servers, API wrappers, and integration layers that allow AI agents to query, validate, transform, or reason over customer data Collaborate with product, platform, security, and consulting teams to align AI/MCP deliveries with Autodesk strategy, policy, and customer-delivery standards Translate customer and stakeholder needs into technical options, risks, assumptions, implementation plans, and demo-ready solutions Perform system-readiness and integration validation, including checks around connectivity, authorization, operating-system compatibility, sandbox readiness, and platform configuration Prepare technical documentation, configuration guidance, readiness summaries, data-source assessments, and reusable implementation notes for internal teams and customers Identify technical risks early, communicate blockers clearly, document findings, and recommend practical next steps Minimum qualifications 5+ years of data engineering, software engineering, or technical implementation experience involving data processing in cloud-based infrastructure, ETL, APIs, or cloud/platform integrations Hands-on Python development experience Strong SQL and data-modeling skills, and analytical data warehouses such as Snowflake Understanding of