AI Data Engineer

Job Title: AI Data Engineer - AWS Data Analytics & Generative AI

Location - Remote

Experience - 8+ Years (Data Engineering) | 2+ Years (AI/ML/Generative AI)

Job Summary

• We are seeking an experienced AI Data Engineer with strong expertise in AWS Data Analytics, Data Engineering, Cloud Architecture, and Generative AI solutions. The ideal candidate will design, develop, and optimize scalable data platforms, AI-powered analytics solutions, and machine learning pipelines on AWS.
• This role requires hands-on experience with AWS data services, modern data lake architectures, ETL/ELT development, AI/ML model integration, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and real-time analytics solutions.
• The candidate will collaborate with Data Scientists, AI Engineers, Solution Architects, and Business Stakeholders to deliver intelligent data-driven solutions.

Key Responsibilities

Data Engineering

• Design and develop scalable data pipelines for structured and unstructured data.
• Build and maintain enterprise data lakes and data warehouses on AWS.
• Develop ETL/ELT pipelines using AWS-native services.
• Implement batch and real-time data processing frameworks.
• Optimize data ingestion, transformation, and storage strategies.
• Ensure data quality, governance, and security compliance.

AWS Data Analytics

• Design analytics solutions leveraging AWS data services.
• Develop data models supporting reporting, BI, and AI workloads.
• Build scalable analytics platforms for enterprise data consumption.
• Support data visualization and business intelligence initiatives.
• Implement event-driven and streaming data architectures.

Generative AI & AI Engineering

• Build AI-powered applications utilizing LLMs and foundation models.
• Implement Retrieval-Augmented Generation (RAG) architectures.
• Develop vector search solutions and semantic retrieval capabilities.
• Integrate AWS AI services and Generative AI platforms into enterprise applications.
• Design prompt engineering strategies and AI orchestration workflows.
• Support AI model deployment, monitoring, and optimization.

Cloud Architecture

• Design cloud-native architectures following AWS Well-Architected Framework principles.
• Implement security, scalability, reliability, and cost optimization best practices.
• Develop Infrastructure as Code (IaC) solutions.
• Support multi-environment deployment strategies.

Data Governance & Security

• Implement data encryption, access controls, and governance policies.
• Ensure compliance with security and regulatory requirements.
• Collaborate with security teams on data protection strategies.