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Tier-1 brand, metro location, and broad high-visibility generative AI role increase candidate competition.
Role demands deep generative AI, LLMOps, and production ML expertise, making cross-industry transfers limited.
Explicit 8+ years, production deployment, LangChain/LangSmith, and leadership requirements make shortlisting highly strict.
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Lead design and production deployment of scalable AI solutions focused on Generative AI and agentic AI using Python and LangChain stack.
Drive observability, monitoring, evaluation frameworks, and MLOps/LLMOps practices ensuring trade-offs between accuracy, latency, and cost are managed.
Provide technical leadership and mentorship to data scientists and ML engineers, translating AI insights into measurable business impact.
8–12+ years in data science/AI roles with demonstrated technical and thought leadership.
Master’s or PhD in Data Science or Computer Science, or exceptional Bachelor's degree holders with strong track record.
Hands-on experience building and deploying production-grade AI systems, especially with Generative AI, LLMs, and agentic AI frameworks.
Proficiency in Python programming, LangChain ecosystem (including LangSmith), and experience with cloud environments like AWS or Azure.
Experienced in bridging applied AI research with scalable production implementations in enterprise settings.
Strategic thinker focused on innovation, experimentation, and responsible AI integrating fairness, ethics, and trust.
Able to communicate complex AI concepts clearly to technical and non-technical stakeholders and lead cross-functional teams.