Principal Engineer, Data Analytics Engineering

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.