Lead Data and AI Architect
Core
Architecting enterprise AI platforms, data foundations, and reusable AI services to drive adoption and value creation across the bank.
Role type
Lead Data and AI Architect
Builds
Enterprise AI platforms, shared capabilities, scalable AI infrastructure, and data access patterns.
Domain
Banking / Enterprise AI and Data Architecture
Deliverable
production ML models | product features | infrastructure
Required skills
Enterprise data architecture, metadata management, GenAI and agentic AI patterns, cloud technologies (AWS/Azure/GCP), API design, ML platforms, SQL, Python, Java, App Code in LeanIX, Athena certification process.
Preferred skills
Financial shared services experience, LLM model development, model lifecycle management, design thinking, leading AI/data science teams.
Technologies
AWS, Azure, GCP, LeanIX, Athena, vector databases, APIs, model gateways.
Responsibilities
Define target-state architecture for enterprise AI platforms; develop reusable architecture blueprints; design solution architectures for ML/GenAI/agentic AI; partner with engineering to deliver scalable AI infrastructure; evaluate emerging technologies and create roadmaps; establish architecture standards and governance frameworks.
Seniority
Senior, hands-on IC with strategic alignment