Enterprise Multi-Solution Architect

Cognizant; Chennai District, Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Cognizant invites an experienced Enterprise Multi‑Solution Architect to lead Digital Experience, MarTech and AI initiatives for global clients from Chennai.

You will define target architectures, transformation roadmaps, integration patterns and architecture governance, working across vendors to deliver business- aligned solutions.

The role requires 15+ years in enterprise technology with leadership in architecture, client engagement, and delivering AI-enabled offerings in complex digital programs.

Skills

Digital Experience Platforms

MarTech

Customer Data

Experience Transformation

Job description

Job Title - Enterprise Multi‑Solution Architect - Digital Experience, MarTech and AI

Experience- 15+ years

Primary Skills

Digital Experience Platforms, MarTech, Customer Data and Experience Transformation

Core Specialisation

CMS/DXP, DAM, Analytics, CDP, Personalisation, Journey Orchestration, Commerce and AI‑enabled Offerings

Required Experience

• 15+ years of enterprise technology experience, including significant experience as a Multi‑Solution Architect, Enterprise Architect, Consulting Architect or Chief Architect.
• Proven architecture leadership across enterprise digital experience, MarTech, CMS/DXP, analytics, customer data, personalisation and journey transformation programmes.
• Demonstrated ability to work across multiple technology vendors and recommend solutions based on business fit rather than product preference.
• Experience defining target architectures, transformation roadmaps, integration models, non-functional requirements and architecture governance for global enterprises.
• Strong client consulting, workshop facilitation, executive communication, proposal solutioning and technical defence experience.
• Experience creating repeatable offerings, accelerators, reference architectures or managed‑service propositions.
• Practical experience applying generative AI and automation in a governed enterprise context.