About Client : Leading Global IT Service MNC

Role : Enterprise Architect AI & Cloud Platforms

Experience : 15-20 Years

Location : Chennai, Hyderabad, Bangalore, Mumbai, Delhi NCR

Role Summary :

We are looking for an experienced Enterprise Architect to lead the design and implementation of modern cloud-native and AI-powered enterprise platforms. The role requires strong expertise in cloud architecture, system integration, enterprise applications, and large-scale digital transformation initiatives.

Key Responsibilities :

- Define enterprise architecture and technology roadmaps aligned with business objectives.

- Design scalable, secure, and resilient solutions across cloud, AI, data, and enterprise systems.

- Lead architecture decisions for cloud-native applications, APIs, integrations, and platform services.

- Drive implementation of AI and Generative AI solutions, including LLM-based applications, RAG frameworks, vector databases, and intelligent automation platforms.

- Architect event-driven and microservices-based solutions using modern cloud technologies.

- Establish integration standards, reusable frameworks, governance models, and best practices across engineering teams.

- Collaborate with business leaders, product teams, and engineering stakeholders to translate business requirements into technology solutions.

- Provide technical leadership across cloud infrastructure, application modernization, security, observability, and platform engineering initiatives.

- Review solution designs, guide development teams, and ensure successful production deployment and operational excellence.

- Drive architecture governance, risk management, performance optimization, and technology innovation.

Required Skills & Experience :

- 15-20 years of experience in software engineering, solution architecture, or enterprise architecture roles.

- Strong expertise in AWS cloud services with working knowledge of Azure and GCP environments.

- Experience designing large-scale enterprise integrations, API ecosystems, and distributed systems.

- Deep understanding of cloud-native architectures, microservices, containers, Kubernetes, Terraform, DevOps, and CI/CD practices.

- Hands-on exposure to AI/GenAI technologies, including LLMs, vector databases, embedding frameworks, and AI platform integration.

- Strong knowledge of security architecture, identity management, SSO, OAuth, observability, and governance frameworks.

- Experience with Python-based platforms and modern application architectures.

- Excellent stakeholder management, consulting, communication, and leadership skills.

Preferred Experience :

- Experience in consulting, digital transformation, or enterprise modernization programs.

- Exposure to media, content, telecom, or large-scale data-driven industries.

- Knowledge of MLOps, FinOps, and AI governance frameworks.

- Experience working in highly regulated enterprise environments.