Description

You will define and guide enterprise-wide architecture across AI/ML, data platforms, cloud infrastructure, and large-scale distributed systems. This role blends enterprise architecture leadership with deep engineering fluency to shape target-state architectures and influence platform strategy.

This role is remote.

Responsibilities

• Define and govern enterprise architecture strategy for AI, data, and platform ecosystems aligned with business objectives.
• Own target-state and multi-year architecture roadmaps across data platforms, AI/ML systems, and cloud-native services.
• Lead architecture for enterprise-scale distributed systems, including event-driven platforms, microservices, and real-time data pipelines.
• Guide adoption of AI/ML and Generative AI solutions, including LLMs, agents, RAG architectures, and ML pipelines.
• Embed security, identity, governance, and compliance into platform designs, including IAM, RBAC, and multi-tenant security.

Required Skills

• 10+ years of experience in enterprise architecture, platform architecture, or solution architecture.
• Proven experience designing enterprise-scale data platforms, AI/ML systems, and distributed architectures.
• Strong understanding of modern data architectures, including streaming, event-driven, lakehouse, APIs, and ETL/ELT.
• Hands-on exposure to AI/ML and Generative AI, including LLMs, agents, RAG, and ML pipelines.
• Cloud architecture experience on AWS, GCP, or Azure.
• Experience with security, identity, governance, and compliance architecture in enterprise environments.
• Strong communication skills with the ability to influence senior leadership and cross-functional teams.

Preferred Skills

• Experience in large, multi-domain enterprise environments such as FinTech, payments, SaaS, or regulated industries.
• Practical experience deploying AI-driven platforms in production at scale.
• Familiarity with event-driven architectures, microservices, and cloud-native platforms.

Key Skills

Education

Any Graduate