Description

Design and implement scalable enterprise data architectures supporting AI and machine learning initiatives.

This role is hybrid.

Responsibilities

• Design and operationalize vector databases for Retrieval-Augmented Generation (RAG) and LLM-based solutions.
• Develop and maintain data pipelines for structured and unstructured data supporting AI workloads.
• Architect solutions leveraging AWS Bedrock and Azure OpenAI services for production deployment.
• Establish data governance, quality, lineage, and consistency standards across platforms.
• Collaborate with AI and engineering teams to ensure data readiness for generative AI use cases.

Required Skills

• 8+ years of experience in Data Architecture, Data Engineering, and AI-enabled data platforms.
• Strong understanding of Generative AI, Large Language Models (LLMs), and AI application architecture.
• Hands-on experience with AWS Bedrock and Azure OpenAI services.
• Strong knowledge of cloud-based data architecture on AWS and Azure.
• Expertise in data modeling, data governance, metadata management, and data quality frameworks.
• Proficiency in data integration, ETL/ELT processes, and distributed data systems.
• Bachelor's degree in a relevant field.

Preferred Skills

• Experience designing scalable architectures for AI workloads.
• Strong stakeholder management and communication skills.

Key Skills

Education

Bachelor's degree