Data & AI Solution Architect – Generative AI Products & Delivery

EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect.

We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit .

Role Title: Data & AI Solution Architect – Generative AI Products & Delivery

BU/Segment: Digital / Banking

Location: Halifax, United Kingdom (Hybrid working 2 days a week in the office)

Employment Type: Permanent

Summary of the role:

We are seeking an experienced and hands-on Generative AI Solution Architect to lead the design and delivery of enterprise-scale AI solutions within the banking and financial services sector.

The ideal candidate will have a proven track record of architecting and deploying production-grade GenAI solutions for complex client environments. You will combine deep technical expertise in LLMs, Agentic AI, and enterprise architecture with the ability to engage senior stakeholders and translate business challenges into scalable, secure, and compliant AI solutions.

This role is ideally suited to professionals from leading technology consulting firms, global systems integrators, AI product companies, or specialist AI consultancies who have spent the last several years delivering GenAI initiatives from concept through to production deployment.

As part of your duties, you will be responsible for:

• Lead the end-to-end architecture, solution design, and delivery of Generative AI and Agentic AI solutions for banking clients.

• Translate business requirements and regulatory considerations into scalable, production-ready AI architectures.

• Design and implement advanced GenAI solutions, including:

• Retrieval-Augmented Generation (RAG)

• Multi-Agent Systems

• Intelligent Document Processing

• Knowledge Management Platforms

• Enterprise Workflow Automation

• Define architecture patterns, governance standards, security controls, and best practices for enterprise AI adoption.