Data Architect I - AI -Data Engineer

Overview

AI - Data Engineer

AI engineer with strong data affinity. The candidate will work mostly on AI related tasks, but will need hands-on skills to manage data pipelines and models

Hiring Location

• Bangalore, Hyderabad, Chennai, Trivandrum, Kochi, Pune, Noida, Gurgaon
  
  

• 8–14 years of experience in AI Engineering, Analytics, and Data pipelines & models.
  
  

• Architect, design, and maintain scalable and resilient data pipelines and enterprise data models supporting analytics, AI, and business intelligence use cases.
• Design, build, and optimize ETL/ELT frameworks using Azure Data Factory (ADF) and cloud-native integration patterns.
• Develop and manage cloud data platforms using Snowflake for high-performance and cost-efficient analytics.
• Design and implement advanced AI/ML solutions, including deep learning, NLP, large language models (LLMs), and generative AI.
• Lead AI research, experimentation, and prototyping to solve complex business problems and drive automation.
• Build and operationalize end-to-end ML pipelines, covering data preparation, feature engineering, model deployment, and monitoring.
• Develop executive dashboards and analytical applications delivering actionable business insights.
• Implement CI/CD pipelines to automate data and AI workflows for reliability and faster releases.
• Collaborate with engineering, analytics, product, and business teams to ensure system integration and alignment with business goals.
• Define and enforce best practices for data engineering, AI, governance, quality, security, and observability.
• Stay current with emerging data, AI, and LLM technologies to drive innovation.
  
  

• Solid experience with AI/ML techniques, including deep learning, NLP, and LLMs / Generative AI.
• Proven experience delivering AI-driven and analytical solutions for real-world business problems
• Strong proficiency in Python for data engineering, analytics, and machine learning.
• Hands-on experience with Snowflake for cloud data warehousing and analytics.
• Experience designing and building data pipelines using Azure Data Factory (ADF) or equivalent ETL/ELT tools..
• Strong understanding of enterprise data modeling, data quality, and scalable pipeline design.
• Experience implementing CI/CD pipelines for data and ML workflows using modern DevOps practices.
• Experience building dashboards using Tableau or Power BI.
• Experience working on cloud platforms (Azure preferred; AWS/GCP acceptable).
• Strong communication skills with the ability to translate technical concepts into business insights.
  
  

• Experience with MLOps practices, including model deployment, monitoring, and observability.
• Experience working with telecom network data (5G, LTE, VoLTE, SMS, data usage, roaming).
• Familiarity with vector databases, embeddings, and RAG (Retrieval-Augmented Generation) patterns.
• Experience integrating LLMs with enterprise data and applications.
• Experience working in Agile environments and large-scale enterprise systems.
  
  

• Shorten this to a 1-page JD
• Create a client-facing or campus-hiring version
• Align it to Data Architect / AI Architect / Staff Engineer titles
  
  

AI Engineer, NLP, LLM, Generative AI,data science,cloud data engineering,etl,data pipelines,