Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Niche enterprise AI architect role with specialized LLM skills reduces candidate density despite Bengaluru location.
AI architecture skills are transferable but finance governance and model-risk requirements increase domain specificity.
Mandatory enterprise architecture, Azure, security, and governance requirements create strict technical and domain filters.
Define and implement solution architecture for enterprise AI initiatives including applications, data, integration, security, operations, and governance.
Create reusable architecture patterns for LLM-enabled applications, RAG, AI agents, workflow automation, and model consumption.
Collaborate with cybersecurity, privacy, data, platform, and governance teams to ensure solutions comply with enterprise standards and regulatory expectations.
Experience in solution architecture, application architecture, cloud architecture, or enterprise technology design required.
Strong understanding of Azure, APIs, integration patterns, identity, data platforms, application security, and operational readiness.
University or College education in Computer Science, Engineering, Data/Analytics, Business/Technology, Risk/Governance, or related field; equivalent experience considered.
Working knowledge of LLM-enabled applications, RAG, AI agents, model risk, AI governance, and responsible AI controls is preferred but not strictly mandatory.
Experienced in producing clear architecture artifacts and able to communicate design trade-offs to technical and business stakeholders.
Capable of leading architecture governance, technical discovery, and implementation planning for AI initiatives.
Strong in stakeholder management, facilitation, documentation, and decision-making within enterprise AI and technology environments.