AI Architect Senior Data Science Lead R

AI Architect Data & AI Platforms (Banking)
12-15 years of experience in Data Architecture Data Engineering AI Data Platforms and AI/GenAI solutions with proven experience designing and delivering the large scale projects

Key Tags - AWS Snowflake Cortex Banking domain Hands on experience

AI Architect Data & AI Platforms (Banking)
12-15 years of experience in Data Architecture Data Engineering AI Data Platforms and AI/GenAI solutions with proven experience designing and delivering the large scale projects

Key Tags - AWS Snowflake Banking domain Hands on experience

Role Overview
We are seeking an experienced AI Architect with strong Banking and Financial Services domain expertise to lead the design and implementation of enterprise Data & AI platforms. The ideal candidate will possess deep expertise in Snowflake and AWS strong data architecture and engineering fundamentals and hands-on experience architecting Generative AI and Agentic AI solutions.
Key Responsibilities
Lead the architecture and design of enterprise Data & AI platforms supporting analytics reporting and AI-driven business capabilities.
Partner with business and technology stakeholders to identify and prioritize high-value AI and data modernization opportunities.
Define scalable data architecture governance security and compliance frameworks aligned with banking and regulatory requirements.
Architect and guide implementation of AI Generative AI and Agentic AI solutions leveraging enterprise data assets.
Provide technical leadership across data engineering AI engineering and platform teams.
Establish architecture standards best practices and future-state roadmaps for data and AI capabilities.
Required Skills & Experience
Strong Banking and Financial Services domain experience with understanding of lending commercial banking risk finance regulatory reporting customer data and enterprise data management.
Proven experience designing and implementing enterprise-scale data platforms in highly regulated environments with a strong focus on governance security compliance and auditability.
Deep expertise in data architecture data engineering data warehousing data lakes lakehouse architectures data modeling metadata management and data governance.
Hands-on experience designing end-to-end data platforms including ingestion integration transformation storage data quality lineage and consumption layers.
Strong expertise with Snowflake including Snowpark Cortex Cortex Analyst Cortex Search Iceberg integration data sharing security and performance optimization.
Strong experience with AWS services including S3 Glue Lambda EMR ECS/EKS and related cloud-native data engineering services.
Experience architecting modern cloud-based data platforms leveraging Snowflake and AWS.
Strong understanding of Generative AI LLMs RAG Vector Databases AI Agents Multi-Agent Architectures and Agentic AI patterns.
Hands-on experience designing and deploying AI solutions using Snowflake Cortex AWS Bedrock and enterprise AI frameworks.
Experience integrating AI capabilities into enterprise data platforms while ensuring governance security and responsible AI practices.
Excellent stakeholder management communication and leadership skills with the ability to bridge business and technology teams.