Enterprise Architect

Location: Pune, India

Job Requirements JD - We are looking for a seasoned Enterprise Architect with 19+ years of experience in Enterprise Architecture, Application Engineering, and large-scale technology transformation programs, with strong exposure to emerging AI technologies and AI-led enterprise transformation. The candidate will be responsible for defining and driving the enterprise application architecture strategy, modernizing complex application landscapes, and enabling the transition towards scalable, cloud-ready, integrated, and AI-native enterprise solutions. The role requires a combination of strategic architecture leadership and strong technical understanding across enterprise applications, ERP ecosystems, application engineering, integration architecture, cloud platforms, and Generative AI technologies. The individual will lead architecture initiatives covering application rationalization, modernization, migration, system integration, application separation, and AI transformation. They will work closely with business stakeholders, CIO/CTO organizations, technology leaders, solution architects, and engineering teams to translate business objectives into scalable and future-ready technology solutions. Experience in the Energy, Utilities, Oil & Gas, or Power sector will be a strong advantage. 1. Required Experience and Skills Enterprise & Application Architecture 19+ years of overall IT experience, with significant experience in Enterprise Architecture, Application Architecture, and Application Engineering across large and complex enterprise environments. Strong expertise in designing enterprise application architectures, defining application roadmaps, and establishing target-state application landscapes. Experience in application portfolio assessment, rationalization, modernization, consolidation, and technology transformation initiatives. Strong understanding of enterprise application ecosystems, like ERP, CRM, SCM, HCM, EAM, custom-built applications, and industry-specific platforms. Hands-on architectural experience with SAP landscapes (ECC, S/4HANA), Oracle, Microsoft Dynamics, or other large-scale enterprise platforms. Experience in defining architecture principles, technology standards, design patterns, and enterprise reference architectures. Application Engineering & Modernization Strong understanding of modern application engineering principles, including microservices, service-oriented architecture (SOA), domain-driven design, modular architecture, and reusable components. Experience in modernizing legacy applications and transitioning traditional monolithic applications towards scalable, cloud-native architectures. Understanding of application development frameworks, engineering standards, API-led development, and application lifecycle management. Experience with DevSecOps, CI/CD, automated testing, release management, and engineering governance. Ability to guide engineering teams in building scalable, secure, resilient, and maintainable enterprise applications. Enterprise Integration Architecture Strong experience in enterprise integration architecture involving APIs, middleware, ESB, event-driven architecture, messaging platforms, and microservices. Experience in designing application interfaces and integration patterns across heterogeneous enterprise systems. Understanding of API management, service orchestration, event management, interface monitoring, and error handling. Experience integrating ERP, CRM, SCM, HCM, EAM, cloud platforms, legacy systems, and third-party applications. AI-Native Architecture & AI Transformation Experience in defining and driving AI-led enterprise architecture and digital transformation strategies. Strong understanding of AI-native application architecture, including designing applications and business solutions with AI capabilities embedded into core workflows and processes. Experience in architecting enterprise Generative AI solutions leveraging LLMs, foundation models, Retrieval-Augmented Generation (RAG), AI agents, and agentic AI architectures. Understanding of AI engineering concepts, including prompt engineering, model integration, orchestration, vector databases, semantic search, and enterprise knowledge management. Experience integrating AI capabilities into enterprise applications, ERP platforms, CRM, workflow systems, and business process automation solutions. Understanding of enterprise AI platforms such as Azure AI, AWS Bedrock, Google Vertex AI, OpenAI, and other enterprise AI ecosystems. Experience with AI-driven process optimization, intelligent automation, predictive analytics, and decision intelligence. Knowledge of responsible AI, AI governance, model security, data privacy, explainability, and regulatory compliance. Ability to evaluate emerging AI technologies and translate business opportunities into scalable, secure, and enterprise-ready AI solutions. Cloud & Technology Architecture Experience in cloud adoption and application modernization across Azure, AWS, or GCP environments. Strong understanding of cloud-native architecture, containerization, Kubernetes, serverless computing, and managed cloud services. Experience defining application deployment, scalability, resiliency, observability, high availability, and disaster recovery architecture. Understanding of application security, identity and access management, data protection, and enterprise technology governance. Transformation & Leadership Experience in application migration, application separation, system consolidation, and technology transitions in M&A, carve-out, divestiture, or enterprise transformation programs. Strong experience in leading architecture reviews, design authorities, and cross-functional technology teams. Excellent stakeholder management and communication skills, with the ability to engage business leadership, CIO/CTO organizations, program directors, solution architects, and engineering teams. Ability to translate business requirements and transformation objectives into scalable enterprise architecture solutions.