LEAD DATA & AI ARCHITECT

Job Overview

We are looking for an experienced Lead Data & AI Architect to define and lead enterprise data and AI architecture initiatives, translating business requirements into scalable and secure technical solutions.

Key Responsibilities

• Define enterprise Data & AI architecture, strategy, standards, and roadmap.
• Design data and AI platforms across cloud and hybrid environments.
• Define data flows, integration, APIs, ETL/ELT, and real-time data architectures.
• Assess AI readiness and design architectures for AI/ML, GenAI, LLM, and RAG use cases.
• Develop target-state and solution architectures aligned with business objectives.
• Establish and enforce data governance, security, quality, metadata, and lineage standards.
• Evaluate data, AI, and cloud technologies and recommend suitable solutions.
• Lead architecture workshops and collaborate with business, technology, cloud, security, and data teams.
• Provide technical leadership and guidance to architecture and delivery teams.

Requirements

• 10+ years of experience in Data Architecture, Enterprise Architecture, or Solution Architecture.
• Strong experience in enterprise data platforms, cloud, data integration, and AI architecture.
• Knowledge of Azure, AWS, GCP, Databricks, Snowflake, Microsoft Fabric, or similar technologies.
• Strong understanding of AI/ML, Generative AI, LLM, RAG, and MLOps concepts.
• Strong knowledge of data governance, security, quality, and compliance.
• Excellent business analysis, stakeholder management, communication, and technical leadership skills.

Vertical
Technology