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Principal Engineer, Data Analytics Engineering (Data Engineering , GenAI , Python , SQL) ,8 + years

Posted January 09, 2026
Full-time Mid-Senior Level

Job Overview

Position: Principal AI Engineer (Data Engineering & GenAI)

We are seeking a Principal AI Engineer with deep expertise in data engineering, Generative AI (GenAI), and AWS cloud platforms to architect and lead scalable AI-driven solutions that address complex business and technology challenges.

Key Responsibilities

  • AI Platform Architecture: Design and implement scalable AI/ML and GenAI solutions on AWS using modern data engineering frameworks and best practices.
  • Data Engineering Leadership: Drive the development of robust data pipelines, ETL/ELT frameworks, and data models that support AI/ML and analytics use cases at scale.
  • Generative AI Solutions: Lead the exploration, prototyping, and deployment of GenAI applications (LLM-based copilots, RAG pipelines, autonomous agents) across enterprise scenarios.
  • Technology Strategy: Evaluate and adopt emerging technologies to strengthen AI and data engineering efficiency and capabilities.
  • Cloud & Infrastructure: Define and implement cloud-native architectures using AWS services (S3, Glue, Redshift, EMR, Lambda, SageMaker, Bedrock, EKS).
  • Collaboration & Influence: Partner with data scientists, product managers, and business stakeholders to translate business needs into scalable technical solutions.
  • Best Practices & Governance: Establish coding standards, DevOps/MLOps practices, and enforce data governance and security controls for AI workloads.
  • Mentorship & Leadership: Guide and mentor engineers and data professionals, fostering innovation, technical excellence, and best practices.

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