> Markdown version of [/jobs/ext/3852646-senior-ai-customer-data-platform-engineer-6](https://www.wearedevelopers.com/jobs/ext/3852646-senior-ai-customer-data-platform-engineer-6). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Customer Data Platform Engineer-6 - **Company:** Realign Llc - **Location:** Jacksonville, FL, United States - **Experience:** Expert - **Salary:** $60,000.0 - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Adobe Experience Manager, Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Continuous Integration, Customer Data Management, Information Engineering, Data Governance, Data Integration, DevOps, Graph Database, Python (Programming Language), Automation of Marketing, OpenAI, Salesforce.Com, Software Engineering, SQL Databases, Systems Integration, Unstructured Data, Enterprise Data Management, Pinecone, Enterprise Software Applications, Chatbots, Data Ingestion, GitHub Copilot, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Prompt Engineering, Model Validation, Llamaindex, Generative AI, Agentic-AI, Fastapi, Build Management, AI Platforms, HuggingFace, Data Analytics, Tealium, Machine Learning Operations, FAISS, Claude, Google Gemini, Model Context Protocol, Semantic Kernel, GPT, User Identification, Docker, ChromaDB, Microservices - **Published:** October 21, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=f89c207347b867c8 ## About the Role 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. ## 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., 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.