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Tier-1 employer and metro location balanced by seniority and niche AI-platform specialization.
Requires specialized agentic AI platform, LLM operational and platform engineering experience, limiting easy cross-industry fit.
Mandatory 8+ years plus explicit cloud-native, LLM/platform, Python and AWS requirements create strict filters.
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Design and build core platform capabilities for agentic AI systems, focusing on orchestration, lifecycle management, and security controls.
Drive architectural alignment and reuse across enterprise teams by defining reference architectures, golden paths, and shared primitives for AI agents and workflows.
Partner with enterprise teams for integration and maintain oversight of AI initiatives to reduce fragmentation and promote sustainable platform evolution.
8+ years experience designing, building, and operating cloud-native software systems, especially platform, infrastructure, or distributed systems.
Proficiency in Python and experience with public cloud platforms, preferably AWS, including compute, networking, storage, and security.
Experience with AI or systems incorporating LLMs or AI models and orchestration systems, workflow engines, or event-driven architectures.
Work Experience Required: 8+ years; Onsite requirement: Hybrid role based in Hyderabad.
Experienced in leading platform architecture with demonstrated ability to influence across multiple teams without formal authority.
Strong focus on ecosystem health, long-term sustainability, reuse, and cohesion rather than short-term delivery speed.
Comfortable working hands-on with emerging AI capabilities and evolving complex multi-agent systems and workflows.