Lead Data Engineering & AI

Job Title : Lead Data Engineering & AI

Experience : 10 to 15 Years

Location : Mumbai

Roles & Responsibilities

• Lead the architecture design and implementation of enterprise-scale data platforms including data warehousing analytics reporting and data distribution.
  
• Design and implement AI/GenAI-powered data solutions using LLMs RAG architectures and modern AI/ML technologies.
  
• Build natural language interfaces conversational AI and enterprise search capabilities over structured and unstructured data.
  
• Develop and manage AI orchestration frameworks prompt engineering retrieval pipelines and agent-based AI solutions.
  
• Establish AI evaluation frameworks to measure performance accuracy security explainability and business outcomes.
  
• Ensure AI governance security data privacy auditability and responsible AI practices across enterprise solutions.
  
• Lead and mentor data engineering teams while promoting innovation collaboration and engineering excellence.
  
• Collaborate with business stakeholders architects and cross-functional teams to define and execute data and AI strategies.
  
• Drive automation data quality observability CI/CD Agile delivery and engineering best practices.
  
• Manage stakeholder communication project delivery risks dependencies and continuous technology innovation.

Requisites

• Bachelors or Masters degree in Computer Science Information Technology Engineering or a related field.
  
• Strong expertise in Data Engineering Data Architecture SQL ETL Data Modeling and scalable data pipelines.
  
• Hands-on experience with cloud data platforms preferably Snowflake.
  
• Strong domain knowledge of Finance Investment Banking or Financial Services.
  
• Experience with AI/GenAI technologies including LLMs RAG Prompt Engineering Model Orchestration and AI-driven analytics.
  
• Experience building AI-powered enterprise search conversational AI and natural language data interaction solutions.
  
• Strong understanding of AI governance security model risk data privacy and responsible AI practices.
  
• Experience with SDLC Agile methodologies CI/CD automated testing and production release management.
  
• Strong leadership stakeholder management communication analytical and problem-solving skills.
  
• Good knowledge of Python Shell Scripting Apache Airflow Power BI Vector Search Embeddings Agentic AI Workflow Automation and AI engineering frameworks.

Required Skills:

SQLData ModelingETLLLMsData ArchitectureCloud Data PlatformsCI/CD