{bc}
company_site

Senior AI Customer Data Platform Engineer

Wipro
Irving, USA
Senior · 8+ years experience
Onsite
Discovered 2 weeks ago
azuredockerfastapiflaskgcpgemini

Full Job Posting

Job Description

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

͏

Deliver

No. Performance Parameter Measure 1. Product design, engineering and implementation CSAT, quality of design/ architecture, FTR, delivery as per cost, quality and timeline, POC review and standards 2. Capability development % trainings and certifications completed, mentor technical teams, Thought leadership content developed (white papers, Wipro PoVs)

͏

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 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.

Core Skills (Must Have)

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

Data & Integration

Customer Data Modeling

Data Pipelines & ETL

SQL

REST APIs

Data Governance

Development

Python (Mandatory)

FastAPI / Flask

Microservices

Cloud & DevOps

Azure or GCP

Git / GitHub

Docker

CI/CD

Preferred Skills

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.

Nice-to-Have

LangGraph

Semantic Kernel

Hugging Face

Azure AI Foundry

Pinecone / Chroma / FAISS

Knowledge Graphs

MCP (Model Context Protocol)

Experience Expectations

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.

Mandatory Skills: Customer Data Platform.

Experience: 5-8 Years.

The expected compensation for this role ranges from $60,000 to $135,000.

Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.

Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.

Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

Qualifications

  • 8+ Years
  • 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.
  • Expectations
  • 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.
  • Customer Data Platform.
  • 5-8 Years.
  • The expected compensation for this role ranges from $60,000 to $135,000.
  • Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
  • Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
  • Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
  • Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
  • 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 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.
  • Core Skills (Must Have)
  • AI Customer Data Platform
  • Customer Data Platforms (CDP)
  • Customer 360 Architecture
  • Customer Identity Resolution
  • Customer Segmentation
  • Data Activation & Personalization
  • Generative AI
  • Azure OpenAI / OpenAI APIs
  • LLMs (GPT, Claude, Gemini, Llama)
  • Prompt Engineering
  • RAG Architecture
  • LangChain / LlamaIndex
  • AI Agents / Agentic AI
  • Data & Integration
  • Customer Data Modeling
  • Data Pipelines & ETL
  • SQL
  • REST APIs
  • Data Governance
  • Development
  • Python (Mandatory)
  • FastAPI / Flask
  • Microservices
  • Cloud & DevOps
  • Azure or GCP
  • Git / GitHub
  • Docker
  • CI/CD

Preferred Qualifications

  • Domain: Banking & Financial Services (Preferred)
  • 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.
  • Nice-to-Have
  • LangGraph
  • Semantic Kernel
  • Hugging Face
  • Azure AI Foundry
  • Pinecone / Chroma / FAISS
  • Knowledge Graphs
  • MCP (Model Context Protocol)
  • CRM Integration (Salesforce preferred)
  • Experience Expectations
  • 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.

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 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.
  • Core Skills (Must Have)
  • 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
  • Data & Integration
  • Customer Data Modeling
  • Data Pipelines & ETL
  • SQL
  • REST APIs
  • Data Governance
  • Development
  • Python (Mandatory)
  • FastAPI / Flask
  • Microservices
  • Cloud & DevOps
  • Azure or GCP
  • Git / GitHub
  • Docker
  • CI/CD

Apply for this job in 1 click

Skip the repetitive application forms

Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.

Sarah M.James T.Maya R.

Trusted by over 500,000 job seekers on Base Career

Start Free Today

More from this employer

More jobs at Wipro