Senior Principal Enterprise Architect AI, Cloud & Digital Transformation

Job Title: Senior Principal Enterprise Architect – AI, Cloud & Digital Transformation Location: Bangalore Job Summary: We are seeking a Senior Enterprise Architect to lead the design and governance of enterprise-scale digital platforms and AI-enabled transformation initiatives . This role operates at the intersection of business strategy, enterprise architecture, and emerging technologies , guiding organizations through complex modernization programs. The architect will define future-state architectures that integrate cloud platforms, enterprise applications, data ecosystems, and AI/Generative AI capabilities , enabling scalable, secure, and intelligent enterprise systems. This role requires strong experience in enterprise architecture frameworks, cloud-native platforms, AI-driven automation, and large-scale digital transformation programs , along with the ability to influence C-level stakeholders and cross-functional leadership teams . Key Responsibilities: Enterprise Architecture Strategy Define and evolve the enterprise architecture vision, principles, and governance frameworks aligned with business strategy. Establish reference architectures, technology standards, and architectural roadmaps to support large-scale digital transformation initiatives. Guide modernization programs including legacy transformation, cloud adoption, platform engineering, and intelligent automation. AI & Generative AI Architecture Design enterprise platforms that embed AI, machine learning, and Generative AI capabilities into core business processes. Architect AI-powered copilots, intelligent agents, decision-support systems, and automation platforms. Implement RAG architectures, vector search, model orchestration frameworks, and AI observability platforms. Define AI governance models, responsible AI frameworks, and model lifecycle management strategies. Cloud & Platform Architecture Architect cloud-native enterprise platforms leveraging microservices, APIs, event-driven architectures, and containerized workloads. Define multi-cloud and hybrid cloud strategies across AWS, Azure, and GCP ecosystems. Enable scalable platform architectures for enterprise applications, digital experiences, and AI services. Integration & Data Architecture Establish enterprise integration patterns across API platforms, event streaming systems, middleware, and SaaS ecosystems. Architect real-time data platforms and data pipelines enabling analytics, AI, and intelligent automation. Integrate enterprise platforms such as ERP, CRM, BPM, and digital experience platforms into a cohesive ecosystem. Technology Leadership & Governance Lead architecture governance boards, design authority reviews, and technology strategy discussions. Provide architecture oversight across large transformation programs and multi-vendor delivery ecosystems. Ensure architecture compliance with security, regulatory, and enterprise technology standards. Executive Engagement Partner with CIOs, CTOs, and business leaders to translate business objectives into scalable technology architectures. Lead executive architecture discussions, strategy workshops, and transformation roadmaps. Drive alignment across business stakeholders, product teams, and engineering organizations. Innovation & Thought Leadership Drive adoption of emerging technologies including AI agents, GenAI platforms, intelligent automation, and composable enterprise architectures. Develop reusable architecture blueprints, accelerators, and transformation frameworks. Mentor solution architects and contribute to architecture community development. Required qualifications, capabilities & skills: Enterprise Architecture Enterprise architecture frameworks: TOGAF, ArchiMate, Zachman Business, application, data, and technology architecture domains Architecture governance, design authority, and technology standards AI & Generative AI AI/ML platforms and model lifecycle management Generative AI platforms and LLM orchestration Retrieval Augmented Generation (RAG) architectures Vector databases and semantic search AI agents, copilots, and AI automation frameworks Responsible AI, model governance, and AI observability Cloud & Platform Engineering Public cloud platforms: AWS, Microsoft Azure, Google Cloud Platform Microservices architecture and container platforms (Docker, Kubernetes) Serverless architecture and event-driven systems Platform engineering and DevOps ecosystems Integration & Event Platforms API management and API gateway architectures Event streaming platforms such as Apache Kafka Enterprise integration tools including MuleSoft, Boomi, Tibco, Informatica, SnapLogic Security & Compliance Identity and Access Management (IAM) OAuth2, OpenID Connect, API security frameworks Data governance, privacy regulations, and compliance standards Enterprise Applications ERP platforms such as SAP and Oracle CRM platforms including Salesforce and Microsoft Dynamics BPM and workflow platforms Digital experience and omnichannel platforms Leadership & Consulting Skills Proven ability to translate business strategy into technology architecture Experience leading large digital transformation and modernization programs Strong stakeholder engagement with C-level executives and senior business leaders Exceptional communication and storytelling skills for complex technology concepts Ability to influence decision-making across global delivery and multi-vendor ecosystems Preferred Qualifications Industry experience in Banking & Financial Services, Healthcare, Travel & Transportation, Technology, Media and Telecom Certifications (Preferred) TOGAF Certified Enterprise Architect ArchiMate Certification AWS Certified Solutions Architect / Azure Solutions Architect Google Cloud Professional Cloud Architect AI / Machine Learning certifications from major cloud providers Education Bachelor's or Master's degree in Engineering, Computer Science, Information Technology, or related field. Professional certifications in Enterprise Architecture, Cloud Platforms, or AI technologies are highly desirable