Description

Responsibilities:

• Design and implement scalable enterprise data architectures supporting AI and machine learning initiatives.
• Develop and maintain robust, reliable, and high-performance data pipelines for structured and unstructured data.
• Create and optimize data models to support AI-powered applications and analytics platforms.
• Architect and operationalize vector databases for Retrieval-Augmented Generation (RAG) and LLM-based solutions.
• Collaborate with AI, engineering, and business teams to ensure data readiness for generative AI use cases.
• Establish data governance, quality, lineage, and consistency standards across platforms.
• Design solutions leveraging AWS Bedrock and Azure OpenAI services.
• Evaluate and implement scalable architectures for AI workloads and production deployment.
• Define best practices for data ingestion, transformation, storage, and retrieval.
• Partner with stakeholders to translate business requirements into technical data solutions

Required Qualifications

• 8+ years of experience working with Data Architecture, Data Engineering, and AI-enabled data platforms.
• Strong understanding of Generative AI, Large Language Models (LLMs), and AI application architecture.
• Experience designing and building scalable data pipelines and modern data platforms.
• Hands-on experience with AWS Bedrock and Azure OpenAI services.
• Strong knowledge of cloud-based data architecture on AWS and Azure.
• Experience with data modeling, data governance, metadata management, and data quality frameworks.
• Expertise in data integration, ETL/ELT processes, and distributed data systems.
• Excellent communication and stakeholder management skills

Key Skills

Education

Bachelor's degree