AI Customer Data Platform Engineer

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.

We are open for multiple Locations: Irving, TX / Jacksonville, FL/ Tampa, FL / New York City, NY

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)

• 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.