Physical AI Data Engineering Lead (Buenos Aires)

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  • Buenos Aires
  • Permanente
  • Tiempo completo
  • Hace 1 día
Physical AI Data Engineering Lead - Innovation & Data Office - Associate Director - EY GDS
Location: CABA
Other locations: Primary Location Only
Date: Feb 12, 2026
Requisition ID: 1684985
Rank:
Associate Director
Sub Portfolio:
Reports to (Job Title and name):ES Growth & Innovation Lead
Role title: Physical AI Data Engineering Lead
About the Next Frontier: Applied Innovation's Next Frontier focuses on emerging technologies, including Physical AI, Quantum Computing, and Next-Generation AI amongst others. This initiative translates advanced capabilities into measurable outcomes, helping clients and EY teams improve decision-making, strengthen resilience, and unlock new opportunities through technology-driven solutions.
About the Delivery Team: EY advances innovation in Physical AI by enabling regional robotics labs and supporting business-driven initiatives. The focus is on practical Physical AI technologies and framework that deliver measurable, enterprise-value level benefits.
Next Frontier’s Physical AI team is led by Youngjun Choi, EY General Robotics and Physical AI Leader.
Position Summary: The Data Engineering Lead will work on Physical AI initiatives, and interlock with other data focused workstreams within Innovation. This role leads the development of AI‑ready data pipelines, synthetic data ecosystems, and digital twin models, enabling organizations to safely design, simulate, validate, and deploy AI‑driven physical automation at enterprise scale.
By embedding strong data governance and Responsible Physical AI guardrails across the entire lifecycle, the role ensures that Physical AI solutions meet safety, ethical, compliance, and resilience standards while helping industries transition from experimentation to production‑grade automation.
Essential Responsibilities of the JobArchitect end‑to‑end AI‑ready data pipelines that generate, curate, and govern high‑quality datasets required to simulate physical AI scenarios at scale, addressing data

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