Job Description
Design and architect enterprisegrade Generative AI and Agentic AI solutions aligned with business objectives
Lead end to end solution architecture using Azure OpenAI Azure AI Foundry Copilot Studio and AI Services
Define scalable architectures leveraging LLMs RAG Vector Databases Knowledge Graphs and MultiAgent systems
Collaborate with business stakeholders to translate complex requirements into AIdriven solutions
Architect secure integrations with enterprise platforms such as SAP Salesforce ServiceNow and Microsoft 365
Establish AI governance frameworks covering Responsible AI security privacy compliance and model monitoring
Design and optimize prompt engineering orchestration workflows and agent reasoning strategies
Provide technical leadership for GenAI application development deployment and production support
Define architecture standards reusable accelerators and best practices for enterprise AI adoption
Guide engineering teams on LangChain LangGraph Semantic Kernel AutoGen and AI agent frameworks
Drive performance optimization scalability observability and cost management of AI workloads
Evaluate emerging AI technologies foundation models and industry trends to shape solution roadmaps
Lead technical discussions architecture reviews PoCs and customer workshops
Mentor architects developers and data scientists across AI and cloudnative technologies
Required skills 10 years in software architecture 3 years in GenAI Azure Cloud Python AIML RAG LLMOps Vector Databases Agentic AI and enterprise integration patterns
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