{"id":1928152,"url":"https://alion.io/job/wipro-senior-ai-customer-data-platform-engineer","title":"Senior AI Customer Data Platform Engineer","company":{"id":224,"name":"Wipro","domain":"wipro.com","url":"https://alion.io/company/wipro","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Irving, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":60000,"max":135000,"currency":"USD","period":"year","gross":null,"usd_annual":135000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"LangChain","optional":false},{"name":"Llama","optional":false},{"name":"LlamaIndex","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Apex","optional":true},{"name":"Chroma","optional":true},{"name":"Copilot","optional":true},{"name":"FAISS","optional":true},{"name":"Hugging Face","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"LangGraph","optional":true},{"name":"LLM","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Pinecone","optional":true},{"name":"Salesforce Data Cloud","optional":true},{"name":"Semantic Kernel","optional":true}],"status":"live","first_seen_at":"2026-10-05T20:54:33Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-13T05:37:53Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.Location: Irving, TX / Jacksonville, FL/ Tampa, FL / New York City, NY\nExperience: 8+ Years\nDomain: Banking & Financial Services (Preferred)\nJob Summary\nWe 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.\nKey Responsibilities\nDesign and implement AI-powered solutions using Customer Data Platforms (CDP) and Generative AI.\nBuild customer intelligence, personalization, and customer 360 solutions.\nDevelop AI chatbots, virtual assistants, and customer service automation platforms.\nIntegrate LLMs with customer data, CRM systems, marketing platforms, and enterprise applications.\nBuild RAG applications leveraging customer knowledge repositories and structured/unstructured data.\nDevelop APIs and AI services using Python.\nImplement data ingestion, identity resolution, customer segmentation, and activation use cases.\nOptimize prompts, model performance, and AI response quality.\nCollaborate with business, product, data, and architecture teams to deliver AI-driven outcomes.\nEnsure compliance with data privacy, governance, and Responsible AI standards.\nCore Skills (Must Have)\nAI Customer Data Platform\nCustomer Data Platforms (CDP)\nCustomer 360 Architecture\nCustomer Identity Resolution\nCustomer Segmentation\nData Activation & Personalization\nCRM Integration (Salesforce preferred)\nGenerative AI\nAzure OpenAI / OpenAI APIs\nLLMs (GPT, Claude, Gemini, Llama)\nPrompt Engineering\nRAG Architecture\nLangChain / LlamaIndex\nAI Agents / Agentic AI\nData & Integration\nCustomer Data Modeling\nData Pipelines & ETL\nSQL\nREST APIs\nData Governance\nDevelopment\nPython (Mandatory)\nFastAPI / Flask\nMicroservices\nCloud & DevOps\nAzure or GCP\nGit / GitHub\nDocker\nCI/CD\nPreferred Skills\nBanking & Financial Services domain experience.\nExperience with customer onboarding, servicing, fraud, marketing, or personalization platforms.\nKnowledge of MLOps and AI Governance.\nExperience integrating AI with Salesforce Data Cloud, Adobe Experience Platform, Tealium, Segment, or similar CDP platforms.\nExposure to GitHub Copilot and AI-assisted development.\nNice-to-Have\nLangGraph\nSemantic Kernel\nHugging Face\nAzure AI Foundry\nPinecone / Chroma / FAISS\nKnowledge Graphs\nMCP (Model Context Protocol)\nExperience Expectations\n8+ years of software engineering, data engineering, or AI solution development experience.\n2+ years of hands-on experience with Generative AI and LLM applications.\nExperience implementing Customer 360 or CDP solutions.\nHands-on experience integrating customer data with AI/ML models.\nExperience building at least one production-grade AI or RAG application.\nStrong understanding of customer data privacy, security, and regulatory requirements.\nMandatory Skills: Customer Data Platform.Experience: 5-8 Years\n.The expected compensation for this role ranges from $60,000 to $135,000 .Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options. Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law. Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. 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