Enterprise Architect

Job Title: Enterprise Architect Location: Chennai, Mumbai and Bangalor e 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 initiative s. Key Responsibiliti es: Define enterprise architecture and technology roadmaps aligned with business objecti ves.Design scalable, secure, and resilient solutions across cloud, AI, data, and enterprise syst ems.Lead architecture decisions for cloud-native applications, APIs, integrations, and platform servi ces.Drive implementation of AI and Generative AI solutions, including LLM-based applications, RAG frameworks, vector databases, and intelligent automation platfo rms.Architect event-driven and microservices-based solutions using modern cloud technolog ies.Establish integration standards, reusable frameworks, governance models, and best practices across engineering te ams.Collaborate with business leaders, product teams, and engineering stakeholders to translate business requirements into technology soluti ons.Provide technical leadership across cloud infrastructure, application modernization, security, observability, and platform engineering initiati ves.Review solution designs, guide development teams, and ensure successful production deployment and operational excelle nce.Drive architecture governance, risk management, performance optimization, and technology innovat ion.

Required Skills & Experi ence: 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 environ ments.Experience designing large-scale enterprise integrations, API ecosystems, and distributed sy stems.Deep understanding of cloud-native architectures, microservices, containers, Kubernetes, Terraform, DevOps, and CI/CD prac tices.Hands-on exposure to AI/GenAI technologies, including LLMs, vector databases, embedding frameworks, and AI platform integr ation.Strong knowledge of security architecture, identity management, SSO, OAuth, observability, and governance frame works.Experience with Python-based platforms and modern application architec tures.Excellent stakeholder management, consulting, communication, and leadership s kills. Preferred Expe rience: Experience in consulting, digital transformation, or enterprise modernization p rograms.Exposure to media, content, telecom, or large-scale data-driven ind ustries.Knowledge of MLOps, FinOps, and AI governance fra meworks.Experience working in highly regulated enterprise envir onments.