Treat the AI-ready data and harness layer as the foundational multiplier for AIDA returns, explicitly designing for build-once, deploy-many reuse across models, agents, channels and BUs.
Build retrieval-based solutions that allow AI applications to efficiently work with large codebases and engineering documentation, using techniques such as embeddings, vector search and hybrid retrieval
Support the department's Third Party Risk Management (TPRM) obligations — coordinating vendor onboarding, Self‑Classification/Risk Assessment Questionnaires, periodic reviews and ongoing monitoring through the Bank's Coupa TPRM workflow.
Develop agentic AI solutions for engineering use cases, including workflow and multi-agent orchestration, as well as integration with engineering tools and data sources such as CAD/CAE, simulation, PLM and internal knowledge systems.
Comprehensive understanding of AI technology governance and the entire model lifecycle management, including model validation and performance monitoring.