Description

Role Overview

We are seeking a senior Enterprise Architect – AI, Data & Platform Architecture to 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, enabling the architect to shape target-state architectures, influence platform strategy, and guide complex, multi-domain systems supporting millions of users and high-volume transactional workloads.

The ideal candidate has experience acting as a trusted technical advisor to senior leadership, defining architecture standards and roadmaps, and driving adoption of AI-enabled, event-driven, and cloud-native platforms across the enterprise.

Key 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

• Architect scalable data and analytics platforms supporting batch, streaming, and real-time decisioning use cases

• Embed security, identity, governance, and compliance into platform designs (IAM, RBAC, multi-tenant security)

• Establish architecture standards, reference architectures, and design guidelines adopted across engineering teams

• Partner with product, engineering, and leadership teams to translate business needs into scalable technical solutions

• Evaluate emerging AI, data, and cloud technologies and guide platform selection and adoption

• Mentor architects and senior engineers through design reviews and technical leadership

Required Qualifications

• 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 (streaming, event-driven, lakehouse, APIs, 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 Qualifications

• Experience in large, multi-domain enterprise environments (FinTech, payments, SaaS, regulated industries)

• Practical experience deploying AI-driven platforms in production at scale

• Familiarity with event-driven architectures, microservices, and cloud-native platforms

• Exposure to ML platforms, workflow orchestration, and AI enablement frameworks

• Background mentoring architects and shaping architecture governance practices

Key Skills

Education

Any Graduate