Senior AI Customer Data Platform Engineer

Wipro•Irving, TX

2d•Hybrid

About The Position

Wipro Limited is 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. The role involves creating and engineering exceptional product architectural design for existing and new products, enabling delivery teams to provide exceptional client engagement and satisfaction. This includes defining product requirements, developing architectural designs, implementing solutions, debugging critical problems, and evangelizing architecture to project and customer teams. The role requires constant analysis and monitoring of product solutions, continuous improvement of design, and optimization of cost and performance. It also involves understanding market-driven business needs, technology trends, and defining architecture requirements and strategy. The engineer will create scalable, reliable, and compatible product-wide architectural designs, develop theme-based Proofs of Concepts (POCs), and analyze, propose, and implement core technology strategies. They will conduct impact analyses, provide solutioning for RFPs, and ensure product design assurance. Collaboration with sales, development, and consulting teams is essential, as is providing technical leadership and defining target state solutions. The role also includes documenting and selling architectural targets, validating solutions, performing root cause analysis, tracking industry trends, and supporting the delivery team during product deployment. Additionally, the role focuses on competency building and branding through training, certifications, developing POCs, case studies, demos, writing white papers and blogs, speaking in forums, and mentoring junior architects.

Requirements

8+ years of software engineering, data engineering, or AI solution development experience
2+ years of hands-on experience with Generative AI and LLM applications
Experience implementing Customer 360 or CDP solutions
Hands-on experience integrating customer data with AI/ML models
Experience building at least one production-grade AI or RAG application
Strong understanding of customer data privacy, security, and regulatory requirements
AI Customer Data Platform
Customer Data Platforms (CDP)
Customer 360 Architecture
Customer Identity Resolution
Customer Segmentation
Data Activation & Personalization
CRM Integration (Salesforce preferred)
Generative AI
Azure OpenAI / OpenAI APIs
LLMs (GPT, Claude, Gemini, Llama)
Prompt Engineering
RAG Architecture
LangChain / LlamaIndex
AI Agents / Agentic AI
Customer Data Modeling
Data Pipelines & ETL
SQL
REST APIs
Data Governance
Python (Mandatory)
FastAPI / Flask
Microservices
Cloud & DevOps
Azure or GCP
Git / GitHub
Docker
CI/CD
Customer Data Platform
Experience: 5-8 Years

Nice To Haves

Banking & Financial Services domain experience
Experience with customer onboarding, servicing, fraud, marketing, or personalization platforms
Knowledge of MLOps and AI Governance
Experience integrating AI with Salesforce Data Cloud, Adobe Experience Platform, Tealium, Segment, or similar CDP platforms
Exposure to GitHub Copilot and AI-assisted development
LangGraph
Semantic Kernel
Hugging Face
Azure AI Foundry
Pinecone / Chroma / FAISS
Knowledge Graphs
MCP (Model Context Protocol)

Responsibilities

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
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
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 services using Python
Implement data ingestion, identity resolution, customer segmentation, and activation use cases
Optimize prompts, model performance, and AI response quality
Collaborate with business, product, data, and architecture teams to deliver AI-driven outcomes
Ensure compliance with data privacy, governance, and Responsible AI standards