Role: Senior AI Customer Data Platform Engineer
Location: Irving, TX / Jacksonville, FL/ Tampa, FL / New York City, NY
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 Identity Resolution
- Generative AI
- Prompt Engineering
- AI Agents / Agentic AI
- Data & Integration
- Customer Data Modeling
- SQL
- REST APIs
- Data Governance
- Development
- Python (Mandatory)
- FastAPI / Flask
- Microservices
- Git / GitHub
- Docker
- CI/CD
Preferred Skills
- 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
- Knowledge Graphs
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.