Senior AI Customer Data Platform Engineer

Senior AI Customer Data Platform Engineer

Role Purpose

The purpose of the role is to create and engineer exceptional product architectural design for existing and new products and enable delivery teams to provide exceptional client engagement and satisfaction.

Do Define product requirements and design needs by displaying complete understanding of product vision and business requirements

Develop architectural designs for the new and existing products

Part Implementation of derived solution

Debug and Solve critical problems during implementation

Evangelize Architecture to the Project and Customer teams to achieve the final solution

Constant analysis and monitoring of the product solution

Continuously improve and simplify the design, optimize cost and performance

Understand market- driven business needs and objectives; technology trends and requirements to define architecture requirements and strategy

Create a product-wide architectural design that ensures systems are scalable, reliable, and compatible with different deployment options

Develop theme-based Proof of Concepts (POCs) in order to demonstrate the feasibility of the product idea and realise it as a viable one

Analyse, propose and implement the core technology strategy for product development

Conduct impact analyses of changes and new requirements on the product development effort

Provide solutioning of RFPs received from clients and ensure overall product design assurance as per business needs

Collaborate with sales, development, consulting teams to reconcile solutions to architecture

Analyse technology environment, enterprise specifics, client requirements to set a product solution design framework/ architecture

Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology

Define and understand current state product features and identify improvements, options & tradeoffs to define target state solutions

Clearly articulate, document and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps

Validate the solution/ prototype from technology, cost structure and customer differentiation point of view

Identify problem areas and perform root cause analysis of architectural design and solutions and provide relevant solutions to the problem

Tracks industry and application trends and relates these to planning current and future IT needs

Provides technical and strategic input during the product deployment and deployment

Support Delivery team during the product deployment process and resolve complex issues

Collaborate with delivery team to develop a product validation and performance testing plan as per the business requirements and specifications. Identifies implementation risks and potential impacts.

Maintain product roadmap and provide timely inputs for product upgrades as per the market needs

Competency Building and Branding

Ensure completion of necessary trainings and certifications

Develop Proof of Concepts (POCs), case studies, demos etc. for new growth areas based on market and customer research

Develop and present a point of view of Wipro on product design and architect by writing white papers, blogs etc.

Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits

Be the voice of Wipro’s Thought Leadership by speaking in forums (internal and external)

Mentor developers, designers and Junior architects for their further career development and enhancement

Contribute to the architecture practice by conducting selection interviews etc.

Location: Irving, TX / Jacksonville, FL/ Tampa, FL / New York City, NY

Experience: 8+ Years Domain: Banking & Financial Services (Preferred)

Job Summary

We are seeking a Senior AI Customer Data Platform (CDP) Engineer with strong expertise in Customer Data Platforms, Generative AI, and Data-Driven Personalization. The ideal candidate will design and build AI-powered customer engagement solutions leveraging customer 360 data, LLMs, RAG, AI Agents, and enterprise data platforms to support banking and financial services use cases.

Key Responsibilities

Design and implement AI-powered solutions using Customer Data Platforms (CDP) and Generative AI.

Build customer intelligence, personalization, and customer 360 solutions.

Develop AI chatbots, virtual assistants, and customer service automation platforms.

Integrate LLMs with customer data, CRM systems, marketing platforms, and enterprise applications.

Build RAG applications leveraging customer knowledge repositories and structured/unstructured data.

Develop APIs and AI ser