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Tier-1 brand and Bangalore location but senior, niche GenAI specialization reduces applicant density.
Specialized GenAI, agentic and production MLOps skills transfer across industries but require niche experience.
Explicit years and specific GenAI, ML frameworks, MLOps and cloud-native requirements enforce strict filtering.
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Architect, design, and lead development of production-grade Generative AI and complex Agentic solutions.
Define and execute technical strategy for AI projects, including architecture and tool selection while ensuring compliance, security, and performance.
Mentor junior/intermediate engineers and manage Agile project timelines; AVP track includes formal people management duties.
7-10 years of overall experience with at least 2.5 years in architecting production-ready Gen AI RAG or Agent-based solutions.
Expert-level knowledge of Agentic solution design, including architecture, memory management, hallucination control, and reinforcement learning feedback.
Proficiency in Python, AI/ML frameworks (PyTorch, TensorFlow, LangChain), MLOps, and cloud-native architectures (Kubernetes).
Bachelor's or equivalent required; Master's preferred in Computer Science, AI, Engineering, or related quantitative field.
Experienced in leading AI technical teams and mentoring, capable of managing both individual contributor and people manager roles.
Strong hands-on expertise in scalable, high-performance AI system architecture and operational production compliance.
Comfortable managing Agile development processes and evolving technical strategies within advanced AI and Agentic solution contexts.