AI Customer Data Platform Engineer

Programmers.io; Tampa (FL); On-site; USD 150,000 - 230,000; Full time

Job summary

Programmers.io is seeking a Senior AI CDP Engineer to design and build AI-powered customer engagement solutions across banking and financial services use cases. The role focuses on customer 360 data, LLMs, RAG, AI agents, and enterprise data platforms to deliver personalized experiences.

Ideal candidates have 8+ years in software or data engineering and 2+ years with Generative AI/LLMs, plus hands-on CDP experience.

Qualifications

• 8+ years of software engineering, data engineering, or AI solution development experience.
• 2+ years hands-on Generative AI + LLM applications.
• Experience implementing CDP or Customer 360 solutions.
• Hands-on experience integrating customer data with AI/ML models.

Responsibilities

• Design and build AI-powered CDP solutions and personalization features.
• Develop AI chatbots, virtual assistants, and customer service automation.
• Integrate LLMs with CRM, marketing platforms, and enterprise apps.
• Build RAG apps leveraging knowledge repositories and structured/unstructured data.
• Create APIs and AI services using Python.
• Ensure data privacy, governance, and Responsible AI compliance.

Skills

AI CDP

Generative AI

Prompt Engineering

LLM integration

Data Modeling

SQL & REST APIs

Python

Data Governance

Identity Resolution

API Development

Tools

GitHub Copilot

Job description

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 Identity Resolution
• Generative AI
• Prompt Engineering
• AI Agents / Agentic AI
• Data & Integration
• Customer Data Modeling
• SQLREST APIs
• Data Governance
• Development
• Python (Mandatory)

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.