Description

Define end-to-end AI and data architecture, aligning technical strategy with business objectives and cloud roadmaps.

This role is hybrid.

Responsibilities

• Design modern data platforms (lakehouse, data mesh, data fabric) supporting batch, streaming, and real-time analytics.
• Architect AI/ML and GenAI solutions, including model lifecycle management, MLOps/LLMOps, and production deployment.
• Establish enterprise data and AI architecture standards, patterns, and reference architectures.
• Embed data governance, privacy, security, and responsible AI principles into all architectural designs.
• Lead architecture reviews, design trade-offs, and technology selection while mentoring engineering teams.

Required Skills

• 10+ years of experience in data, analytics, and architecture roles.
• Deep understanding of data architectures including Lakehouse, Data Mesh, and Data Fabric.
• Strong experience with cloud platforms: AWS, Azure, or GCP.
• Proven ability to design enterprise-scale architecture, system integration, and platform design.
• Knowledge of AI/ML and GenAI concepts, MLOps, and production-ready deployment patterns.
• Ability to translate business vision into scalable technical architectures.

Preferred Skills

• Experience in regulated industries (Banking, Financial Services, Insurance).
• Exposure to AI governance, model risk, and responsible AI frameworks.

Key Skills

Education

Bachelor's degree