Enterprise Architect - AI & Cloud Platforms
Saaki, Argus, Averil Consulting
About Client : Leading Global IT Service MNCRole : Enterprise Architect AI & Cloud PlatformsExperience : 15-20 YearsLocation : Chennai, Hyderabad, Bangalore, Mumbai, Delhi NCRRole 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. (ref:hirist.tech)
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