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Enterprise Architect - Tata Consultancy Services (TCS)
Solutions Architect
Seasoned Enterprise Architect leading AI, data and digital transformation initiatives, shaping cloud and multi‑cloud strategies, and driving modern data platforms, DevOps/DevSecOps, and Generative AI adoption.
About the role
Key Responsibilities
- Define and execute enterprise AI, data, and digital architecture strategies, including AI/GenAI roadmaps and governance.
- Design target architectures and transformation plans for modern data platforms such as lakehouse, real‑time pipelines, and data mesh.
- Lead the adoption of Generative AI technologies (LLMs, Retrieval‑Augmented Generation, Copilot ecosystems) and establish MLOps practices.
- Drive DevOps and DevSecOps adoption using GitHub‑centric workflows, ensuring secure, automated delivery pipelines.
- Formulate cloud and platform strategies across hybrid and multi‑cloud environments, aligning with business objectives.
- Act as a trusted advisor to CIO, CDO, and senior business leaders, translating technical vision into actionable outcomes.
Requirements
- 15+ years of IT experience with a proven track record as an Enterprise Architect.
- Deep expertise in AI/ML, Generative AI (LLMs, RAG) and MLOps implementation.
- Extensive experience designing and governing data lakehouse, real‑time, and data mesh architectures.
- Strong background in cloud architecture (hybrid/multi‑cloud) and DevOps/DevSecOps practices, especially GitHub‑based pipelines.
- Excellent communication and advisory skills, capable of influencing C‑level stakeholders.
Skills
generative aimachine learningmlops