About the Role / About the Job
We are seeking a seasoned Enterprise & Solution Architect with strong cross-domain expertise and deep technology capabilities to drive large-scale digital transformation initiatives. This 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.
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Key Responsibilities
- 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.
Key Skills & Competencies
Domain Expertise
- 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)
Technology Expertise
- Cloud Platforms: AWS, Azure, or GCP (multi-cloud exposure preferred)
- Architecture Patterns: Microservices, Event-driven, API-first, Domain-driven design
- Web Technologies: Modern front-end and backend frameworks
- Integration: APIs, Middleware, ESB, iPaaS
Data & AI (Core Focus)
- 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
Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- Architecture certifications (TOGAF, Cloud Architect certifications) preferred
Leadership & Behavioral Skills
- 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
