Senior Principal Applied AI Engineer

Role Overview

• Define and lead technical strategy for multimodal and agentic AI capabilities across Autodesk Construction Cloud
• Drive the architecture and delivery of intelligent systems that combine NLU, retrieval, computer vision, multimodal reasoning, and agentic workflows
• Build and evolve AI applications that work across construction data such as specifications, drawings, RFIs, issues, submittals, schedules, meeting content, photos, and field observations
• Partner closely with Product, UX, Engineering, and domain stakeholders to identify high-value construction workflows and turn them into scalable AI features
• Shape the design of agentic systems that can retrieve, reason, summarize, recommend, and take workflow-aware actions in trusted and governed ways
• Lead the development of evaluation harnesses, benchmark suites, and quality frameworks for multimodal and agentic AI systems
• Help define how AI systems should behave in construction contexts, including grounding, evidence, permissions, traceability, fallback behavior, and human-in-the-loop controls
• Drive technical direction for reusable AI services and platform capabilities that can support multiple construction workflows and product surfaces
• Mentor senior and mid-level engineers, data scientists, and ML engineers, and help raise the bar for architecture, experimentation, engineering quality, and technical judgment
• Influence roadmap decisions through strong partnership with product leadership and by connecting technical investments to customer value and business outcomes
• Represent Construction in broader Autodesk AI platform conversations and help ensure construction workflows shape platform patterns and standards

Requirements

• Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Data Science, Information Systems or equivalent industry experience
• At least 8 years of industry experience in software engineering, AI/ML systems, computer vision, applied AI, or related domains
• Proven track record of building and shipping AI or ML systems in the construction, AEC, BIM/VDC, project controls, field operations, or construction technology space
• Strong experience across multiple AI domains, including a combination of: natural language understanding or LLM applications
• computer vision or multimodal AI
• retrieval, search, or document intelligence
• agentic workflows or orchestration systems
• Strong software engineering and systems design fundamentals, including production-quality implementation, APIs, cloud services, testing, observability, and operational reliability
• Demonstrated ability to work closely with Product and cross-functional partners to define requirements, evaluate tradeoffs, and ship high-impact customer-facing capabilities
• Demonstrated experience mentoring engineers, leading technical direction, and operating as a force multiplier across teams
• Strong communication skills and the ability to influence technical and non-technical stakeholders.

Tech Stack

• Cloud

Benefits

• Health and financial benefits
• Time away and everyday wellness