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Tier-1 brand, metro location, mid-senior ML/AI role with broad skillset increases applicant competition.
Specialized agentic GenAI expertise and production RL/feedback experience limit cross-industry transferability.
Explicit years, mandated GenAI agent experience, and specific tech/MLOps requirements make filters highly strict.
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Architect, design, and lead development of production-grade Generative AI and complex Agentic solutions.
Define and drive technical strategy including architecture, frameworks, and tools selection for AI projects.
Mentor junior and intermediate engineers, oversee Agile project management, and begin formal people management responsibilities as AVP.
7-10 years overall experience with at least 2.5 years in architecting and developing production-ready Gen AI RAG or Agent-based solutions.
Expertise in Agentic solution design, agent training, performance measurement, and reinforcement learning feedback loops.
Proficient in Python, AI/ML frameworks (PyTorch, TensorFlow, LangChain), MLOps, and cloud-native technologies (Kubernetes).
Bachelor's degree required; Master's preferred in Computer Science, AI, Engineering, or related quantitative field.
Experienced in designing scalable, secure, and high-performance AI solutions with strong architectural judgment.
Capable technical leader and mentor with proven program/project management skills using Agile methodologies.
Comfortable taking on dual track roles including technical leadership and initiating people management duties.