Lead AI & Data Architect / Enterprise AI Architect With heavy banking domain

Role; (Lead AI & Data Architect / Enterprise AI Architect With heavy banking domain)

Chicago, Illinois United States

Contract

Job Description:

Experience: 15 Years Job Summary: We are seeking a seasoned AI & Data Architect to lead technology strategy, roadmap planning, and target-state execution across our banking ecosystem. In this role, you will design enterprise-grade, secure AI and data architectures that drive business transformation across Wealth Management, CRM, nCino, Salesforce FSC, and Customer 360 initiatives. Responsibilities :Drive technology strategy, architectural roadmaps, and TOGAF-aligned enterprise governance frameworks. Architect scalable Generative AI, multi-agent workflows, RAG, Knowledge Graphs, and Vector Databases. Deliver end-to-end solutions using Azure AI, Azure OpenAI, Copilot, AWS Bedrock, and hybrid cloud. Define target-state data architectures, master data management, and data governance policies. Design robust REST APIs, event-driven architecture, and seamless integrations across legacy and cloud systems. Oversee full AI/ML lifecycle management, automated CI/CD pipelines, and MLOps/LLMOps deployment. Enforce Zero Trust security, privacy, model risk management, and Responsible AI guardrails.Apply deep domain knowledge in Wealth, CRM, nCino, Financial Services Cloud (FSC), and Customer 360.Mandatory Skills:Banking & Wealth: Wealth Management, Financial Services Cloud (FSC), Customer 360 Ecosystems (Advanced)Banking Platforms: Salesforce CRM, nCino Core Banking/Loan Origination (Advanced)Executive Stakeholder Management & C-Suite Communication (Advanced)Technical Leadership & Cross-Functional Team Guidance (Advanced)Business-to-Technology Strategy Translation (Advanced)Preferred Skills: Experience with Generative AI technologies. Knowledge of data governance frameworks. Familiarity with hybrid cloud infrastructure management.Qualifications :Bachelor's degree in Computer Science, Information Technology, or a related field.15 years of experience in AI and data architecture within the banking sector. Proven track record of leading technology strategy and execution.