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Tier-1 brand, mid-level experience band, and metro Hyderabad location increase applicant competition.
Role demands specialized agentic AI, production ML, and regulated-industry experience, limiting cross-industry transferability.
Multiple explicit years, mandatory AI/ML production experience, and specific tooling and compliance requirements enforce stringent filters.
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Lead the solutioning and adoption of client-facing AI agent products in collaboration with Sales to deliver customized solutions that address client needs.
Design, build, and deploy production-grade agent architectures and multi-agent systems integrating AI workflows, orchestrations, and regulated environment constraints.
Partner closely with Line of Business engineering teams to embed engineering expertise, debug integration issues, maintain SDKs, and contribute to platform governance and risk frameworks.
5+ years of software engineering experience with at least 3 years focused on AI/ML systems, GenAI application development, or agent-based architectures in production.
5+ years of experience solving complex problems across multiple products and engaging with clients in sales cycles.
Strong production-quality Python skills including async patterns and SDK extension capabilities.
Experience operating in complex enterprise environments with governance, compliance, and model risk constraints.
Experienced in architecting and engineering complex multi-agent AI systems with deep understanding of component-level interfaces and failure modes in regulated environments.
Comfortable engaging with senior technical and business stakeholders to communicate agent architectures and feedback effectively.
Hands-on developer with a background in agent frameworks (e.g., LangChain, AutoGen), RAG pipeline integrations, and building reusable SDK/tooling patterns that scale agent adoption across large organizations.