Enterprise Architect

Job Title: Enterprise Architect\n\nLocation: Chennai, Mumbai and Bangalor\n\ne\nWe 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\n\ns.\nKey Responsibiliti\n\nes:\nDefine enterprise architecture and technology roadmaps aligned with business objecti\nves.Design scalable, secure, and resilient solutions across cloud, AI, data, and enterprise syst\nems.Lead architecture decisions for cloud-native applications, APIs, integrations, and platform servi\nces.Drive implementation of AI and Generative AI solutions, including LLM-based applications, RAG frameworks, vector databases, and intelligent automation platfo\nrms.Architect event-driven and microservices-based solutions using modern cloud technolog\nies.Establish integration standards, reusable frameworks, governance models, and best practices across engineering te\nams.Collaborate with business leaders, product teams, and engineering stakeholders to translate business requirements into technology soluti\nons.Provide technical leadership across cloud infrastructure, application modernization, security, observability, and platform engineering initiati\nves.Review solution designs, guide development teams, and ensure successful production deployment and operational excelle\nnce.Drive architecture governance, risk management, performance optimization, and technology innovat\n\nion.\nRequired Skills & Experi\n\nence:\n15-20 years of experience in software engineering, solution architecture, or enterprise architecture\nroles.Strong expertise in AWS cloud services with working knowledge of Azure and GCP environ\nments.Experience designing large-scale enterprise integrations, API ecosystems, and distributed sy\nstems.Deep understanding of cloud-native architectures, microservices, containers, Kubernetes, Terraform, DevOps, and CI/CD prac\ntices.Hands-on exposure to AI/GenAI technologies, including LLMs, vector databases, embedding frameworks, and AI platform integr\nation.Strong knowledge of security architecture, identity management, SSO, OAuth, observability, and governance frame\nworks.Experience with Python-based platforms and modern application architec\ntures.Excellent stakeholder management, consulting, communication, and leadership s\n\nkills.\nPreferred Expe\n\nrience:\nExperience in consulting, digital transformation, or enterprise modernization p\nrograms.Exposure to media, content, telecom, or large-scale data-driven ind\nustries.Knowledge of MLOps, FinOps, and AI governance fra\nmeworks.Experience working in highly regulated enterprise envir\n\nonments.