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