Enterprise Architect

Industry Information Technology and Services

We are seeking a seasoned Enterprise & Solution Architect with strong cross-domain expertise and deep technology capabilities to drive large-scale digital transformation initiatives. The role requires a strategic thinker with hands‑on architecture experience across industries such as Telecom, Energy, Public Sector, and BFSI, combined with strong proficiency in modern technology stacks including cloud, web, and advanced Data & AI.

• Define and drive enterprise architecture strategy aligned with business goals across multiple industry domains (Telco, Energy, Public Sector, BFSI).
• Lead end-to-end solution architecture for large, complex transformation programs, ensuring scalability, security, and performance.
• Design and govern data‑driven architectures, including data platforms, analytics ecosystems, and AI/ML solutions.
• Architect and implement solutions leveraging Cloud (OCI/AWS/Azure/GCP), Microservices, APIs, and Modern Web Technologies.
• Drive adoption of AI capabilities, including Machine Learning, Generative AI, and emerging Agentic AI frameworks for enterprise use cases.
• Establish architecture governance, standards, and best practices across programs and portfolios.
• Collaborate with business stakeholders to translate requirements into scalable and future‑ready architecture blueprints.
• Provide technical leadership across delivery teams, ensuring alignment with architecture vision and quality benchmarks.
• Evaluate and recommend technology platforms, tools, and vendors aligned with enterprise strategy.
• Lead solutioning for RFPs, proposals, and client engagements, including effort estimation and technical strategy.

• Strong understanding of at least two or more domains:
• Telecom (BSS/OSS, Digital Channels)
• Energy & Utilities
• Public Sector (eGov, Smart City)
• BFSI (Banking, Payments, Insurance)
• Cloud Platforms: AWS, Azure, or GCP (multi‑cloud exposure preferred)
• Web Technologies:
  Modern front‑end and backend frameworks

• Strong expertise in Data Architecture (Data Lakes, Data Warehouses, Lakehouse)
• Hands‑on experience with Machine Learning models and lifecycle management (MLOps)
• Experience in Generative AI (LLMs, prompt engineering, RAG architectures)
• Exposure to Agentic AI systems (autonomous agents, orchestration frameworks)
• Knowledge of data governance, security, and privacy frameworks

• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• Architecture certifications (TOGAF, Cloud Architect certifications) preferred
• Strong stakeholder management and executive communication skills
• Ability to operate at both strategic and hands‑on levels
• Proven experience in leading distributed and cross‑functional teams
• Strong problem‑solving and decision‑making capabilities