Lead Software Engineer

Virtusa; Chicago (IL); Sur place; USD 150 000 - 190 000; Plein temps

Résumé du poste

Virtusa is seeking an experienced AI & Data Architect to lead technology strategy and target-state execution across Banking ecosystems in Chicago. You will design enterprise-grade, secure AI and data architectures for Wealth Management, CRM, nCino, Salesforce FSC, and Customer 360 initiatives.

You will drive architectural roadmaps, implement Generative AI & data governance, and oversee full AI/ML lifecycle with a focus on Zero Trust security and Responsible AI.

Qualifications

• 5-7 years of AI and data architecture in the banking sector.
• Bachelor's degree in Computer Science, Information Technology, or related field.
• Proven track record of leading technology strategy and execution.

Responsabilités

• Drive technology strategy, architectural roadmaps aligned with TOGAF governance.
• 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 architectures, and integrations across legacy and cloud systems.
• Oversee AI/ML lifecycle management, CI/CD pipelines, and MLOps/LLMOps deployment.
• Enforce Zero Trust security, privacy, model risk management, and Responsible AI guardrails.
• Apply domain knowledge in Wealth, CRM, nCino, FSC, and Customer 360.

Description du poste

AI & Data Architect

Location: Chicago, US

Years of Experience: 5-7 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.
• 5-7 years of experience in AI and data architecture within the banking sector.
• Proven track record of leading technology strategy and execution.