Company
Technology
Sr.AIArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. AI Architect. Skills: AI Agent Architecture, Agent Development, Enterprise Agent Delivery, Azure Integrations. Design AI agents. Develop AI agents”
Industry & Context.
What They're Looking For.
Must Have
AI agent development experience, Hands-on AI agents, Hands-on AI workflows, Hands-on orchestration logic, Enterprise integrations experience, API experience, REST experience, Backend systems integration, Data sources integration, Microsoft ecosystem experience, Azure services knowledge, Production-grade solutions design, Scalable solutions design
Nice to Have
Microsoft Copilot Studio experience, N8N experience, Enterprise grade Agentic framework experience, Decision flows understanding, State management understanding, Agent behavior modeling understanding, Connectors experience, Authentication experience, Authorization experience, Logic Apps knowledge, Functions knowledge, API Management knowledge, AI services knowledge
What You'll Do.
Develop agent frameworks
Build use-case agents
Drive agent deployment
Integrate agents with systems
Collaborate with stakeholders
Translate requirements
Act as development resource
Act as support resource
Support onboarding pipelines
Support documentation
Support operational handover
How You'll Work.
Team & Collaboration
Collaborate with stakeholders
Full Job Description
• Design and develop AI agents for diverse enterprise use cases • Own the end‑to‑end agent lifecycle, from development to production onboarding, support/maintenance and bug fixes . • Work on centralized and reusable agentic frameworks. • Build use‑case specific agents aligned with evolving business requirements • Drive agent deployment initiatives ensuring production readiness and scalability • Integrate agents with enterprise systems using APIs, connectors, and Azure services • Collaborate with stakeholders to gather and translate requirements • Act as a primary development and support resource for AI agent initiatives • Support onboarding pipelines, documentation, and operational handover • Strong experience in AI agent development. • Hands-on experience building AI agents, workflows, and orchestration logic using Microsoft Copilot Studio, N8N or any such enterprise grade Agentic framework. • Understanding of decision flows, state management, and agent behavior modeling. • Strong experience with enterprise integrations including APIs (REST), connectors, authentication and authorization. • Ability to integrate agents with backend systems and data sources. • Experience working within the Microsoft ecosystem. • Strong knowledge of Azure services (Logic Apps, Functions, API Management, AI services). • Ability to design production-grade, scalable solutions. Focus Areas • AI Agent Architecture and Development • Enterprise-grade Agent Delivery and Lifecycle Management • Azure-backed integrations and services • Centralized, reusable agent frameworks • Microsoft ecosystem alignment and best practices Mercedes-Benz Research and Development India Private Limited
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