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Enterprise Architect – Cloud, Data & AI

Nagarro · Mascate

Senior 🇬🇧 English
Enterprise architecture Solution architecture OCI AWS Azure GCP Microservices Domain-driven design APIs Middleware ESB iPaaS Data lakes Data warehouses Lakehouse Machine learning MLOps Generative AI LLMs Prompt engineering RAG Agentic AI Data governance

Job description

About the role

We are looking for a seasoned Enterprise & Solution Architect to lead large‑scale digital transformation programs across multiple industry domains. The role combines strategic vision with hands‑on architecture expertise in cloud, data, and AI technologies.

Key responsibilities

  • Define and drive enterprise architecture strategy aligned with business goals for Telecom, Energy, Public Sector and BFSI.
  • Lead end‑to‑end solution architecture for complex transformation initiatives, ensuring scalability, security and performance.
  • Design data‑driven architectures, including data platforms, analytics ecosystems and AI/ML solutions.
  • Architect solutions on OCI, AWS, Azure or GCP using microservices, APIs and modern web technologies.
  • Promote adoption of machine learning, generative AI and emerging agentic AI frameworks.
  • Establish architecture governance, standards and best practices.
  • Collaborate with business stakeholders to translate requirements into future‑ready blueprints.
  • Provide technical leadership to delivery teams and evaluate technology platforms, tools and vendors.
  • Lead solutioning for RFPs, proposals and client engagements, including effort estimation.

Required profile

  • 12+ years of experience in enterprise and solution architecture.
  • Strong domain knowledge in at least two of: Telecom, Energy & Utilities, Public Sector, BFSI.
  • Bachelor’s or Master’s degree in Computer Science, Engineering or related field.
  • Relevant architecture certifications (e.g., TOGAF, Cloud Architect).

Required skills

  • Enterprise and solution architecture
  • Cloud platforms: OCI, AWS, Azure, GCP
  • Architecture patterns: microservices, event‑driven, API‑first, domain‑driven design
  • Modern front‑end and back‑end web frameworks
  • Integration technologies: APIs, middleware, ESB, iPaaS
  • Data architecture: data lakes, data warehouses, lakehouse
  • Machine learning lifecycle (MLOps)
  • Generative AI (LLMs, prompt engineering, RAG)
  • Agentic AI systems
  • Data governance, security and privacy frameworks

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Published 1 month ago

Expires 4 weeks from now

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Nagarro

Mascate