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Senior AI Customer Data Platform (CDP) Engineer

  • |9 years of exp
  • |Contract
Posted: 4 days ago• Recruiter recently active
Job Location
Remote Work Policy

In office

Visa Sponsorship

Not Available

RelocationAllowed
Skills
Python

About the job

We are seeking a Senior AI Customer Data Platform (CDP) Engineer to design and build AI-powered customer engagement and personalization solutions for the banking and financial services sector. In this role, you will leverage Customer 360 data, LLMs, RAG, and AI Agents to develop cutting-edge chatbots, virtual assistants, and automated customer service platforms.

Title: Senior AI Customer Data Platform (CDP) Engineer

Duration: Contract /Fulltime

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

Experience: 9+ Years

Key Responsibilities

  • AI Solutions & Automation: Design AI-powered chatbots, virtual assistants, and customer service automation tools using GenAI and CDPs.
  • Data Integration & Personalization: Build customer intelligence platforms featuring identity resolution, advanced segmentation, and data activation.
  • LLM & RAG Architectures: Integrate LLMs with CRM and marketing systems; build RAG applications using structured and unstructured customer data.
  • Development & Optimization: Develop Python-based APIs and microservices while optimizing prompts and model performance.
  • Governance & Collaboration: Partner with cross-functional teams to deliver secure solutions that comply with data privacy and Responsible AI standards.

Core Skills & Technical Requirements

Customer Data Platforms (CDP)

  • Customer 360 Architecture & Identity Resolution
  • Segmentation, Data Activation, & Personalization
  • CRM Integration (Salesforce preferred)

Generative AI

  • Azure OpenAI / OpenAI APIs & LLMs (GPT, Claude, Llama, Gemini)
  • RAG Architecture, Prompt Engineering, & Agentic AI (LangChain / LlamaIndex)

Data, Integration, & Development

  • Python (Mandatory), FastAPI / Flask, and Microservices
  • Customer Data Modeling, ETL Pipelines, SQL, and REST APIs

Cloud & DevOps

  • Azure or GCP
  • Git / GitHub, Docker, and CI/CD pipelines