Hiring for “LLMOps” readiness: The new C-suite benchmark
By Nithin Alkanand, Partner, Sapphire Human Capital
Capital has stopped being the binding constraint on India’s artificial intelligence ambition. Capability has taken its place. Speaking at the India AI Impact Summit in February, the Union Minister for Electronics and IT indicated that more than $200 billion of AI investment is likely over the next two years, layered onto a national compute base of 38,000 GPUs, with a further 20,000 being added. Money at that scale rarely fails loudly. It fails in the operating layer, in the unglamorous discipline of keeping live models honest, and that failure arrives as a leadership problem long before anyone calls it a technical one.
The vocabulary in the boardroom has shifted accordingly. Directors who spent two years arguing build versus buy are now being asked who owns a model once it goes live, who watches it degrade, and who answers for it when a credit...
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