Description

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

This role is on-site.

Responsibilities

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

Required Skills

• 10+ years of experience in data, analytics, and enterprise architecture roles.
• Deep understanding of data architectures (Lakehouse, Data Mesh/Fabric).
• Strong knowledge of AI/ML concepts and GenAI production patterns.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Proficiency in MLOps and system integration at enterprise scale.
• Ability to translate business vision into scalable technical architectures.
• TOGAF or Cloud Architect certification.

Preferred Skills

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

Key Skills

Education

Bachelor's degree