Enterprise Architect

Job description

Key Responsibilities

• Define enterprise AI, Data, and Digital Architecture strategy
• Develop target architecture and transformation roadmap
• Lead AI/GenAI adoption (LLMs, RAG, Copilot ecosystems)
• Architect modern data platforms (lakehouse, real-time, data mesh)
• Establish AI governance, data governance, and security frameworks
• Drive DevOps / DevSecOps adoption with GitHub-led practices
• Define cloud and platform strategy across hybrid/multi-cloud
• Act as trusted advisor to CIO/CDO/business leadership

Must-Have Experience

• 15+ years in IT with Enterprise Architect experience
• Strong AI/ML and Generative AI exposure (LLMs, RAG, MLOps)
• Experience in enterprise data platforms (lakehouse, analytics)
• Proven track record in large-scale transformation programs
• Experience with architecture frameworks (TOGAF or similar)
• Strong understanding of data and AI governance

Technology Expectations

• Microsoft ecosystem (Azure, Fabric/Synapse, Copilot, Power Platform)
• Multi-cloud exposure (AWS/GCP)
• GitHub, CI/CD, Infrastructure as Code
• DevOps / DevSecOps practices
• Containers / Kubernetes

Nice to Have

• Experience in Energy/Utilities/Transport domains
• Exposure to Snowflake, Databricks, open AI ecosystems
• Experience in product-centric/platform operating models

Profile Target

• Strategic and hands-on architect
• Strong AI & Data-first mindset
• Comfortable with CXO stakeholders
• Vendor-neutral approach with Microsoft strength
• Focus on execution, not just governance