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Metro mid-level program role with niche AI and government focus balances applicant interest and specialized requirements.
High — requires government, agricultural advisory, and AI benchmarking expertise, reducing cross-industry transferability.
High — explicit 5–8 years, master's degree, and mandatory AI program management and multi-stakeholder experience.
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Lead and manage a national AI benchmarking program for agricultural advisory, coordinating government, academic, and technical partners to produce actionable evidence for the Ministry of Agriculture and Farmers' Welfare.
Own the benchmarking framework design, delivery, and evidence synthesis including technical evaluation, user testing, and cost analysis to identify models ready for deployment or further optimization.
Manage consortium governance, contracts, compliance, budgets, and coordination across multiple stakeholders and teams to ensure program milestones and deliverables are met.
Master's degree or equivalent in Computer Science, Data Science, Engineering, Public Policy, Economics, Agriculture, Development Studies, Management, or related field.
5–8 years of experience managing complex technical programs or projects involving multi-stakeholder environments.
Working fluency with modern AI systems such as LLMs, retrieval-augmented generation, and understanding of trade-offs in accuracy, latency, safety, and cost.
Must have current and ongoing work authorization in India; position based in New Delhi with travel requirements.
Experienced in managing multi-stakeholder technical programs involving government agencies, academic partners, and technical vendors within the AI or agricultural advisory domain.
Strong capability to translate complex technical evaluation results into clear, decision-oriented recommendations for senior non-technical government audiences.
Comfortable operating with ambiguity and limited infrastructure, having led programs from initial design through delivery in emerging technology or public-sector settings.