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Tier-1 brand plus common product title but senior, specialized AI-architecture needs moderate competition.
Requires AI-led enterprise architecture and Azure experience, limiting cross-industry transferability.
Explicit 8-12 years plus mandatory AI, LLM, Azure and enterprise architecture skills create rigid filters.
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Own architecture development and integration of AI-driven enterprise solutions using Microsoft Azure AI products and related technology stacks.
Drive the design, coding, testing, and implementation of innovative AI applications leveraging LLMs, Agentic AI, RAG, and GenAI techniques.
Collaborate with business stakeholders and users to translate requirements into scalable AI and enterprise architecture within large and diverse environments.
8-12 years of total work experience including at least 3 years recent experience in AI and architecture development.
Bachelor's degree in Engineering (B.Tech or B.E.) is mandatory.
Hands-on experience with AI tools like AutoGen, LangGraph, CrewAI, Semantic Kernel and Microsoft Azure-based AI products.
Demonstrable experience with cloud architectures, enterprise application/data architecture, systems integration, and working directly with business stakeholders.
Experienced manager with strong technical proficiency in AI product and enterprise architecture development using Microsoft technology stack in complex enterprise environments.
Proven ability to bridge technical and business aspects by working closely with stakeholders to deliver AI-driven digital integration solutions.
Familiarity with Agile and DevOps methodologies and holding relevant professional certifications such as TOGAF 9x or Microsoft Agentic AI Business Solutions Architect increases competitiveness.