Solution Architect | Pre Sales, Enterprise AI

Sarvam builds AI for India, spanning voice AI, document intelligence, multilingual agents and enterprise API platforms, which puts it in a genuinely distinctive position given the language diversity it has to handle. This solution architect role is the technical bridge between what Sarvam builds and what an enterprise client needs. The posting is refreshingly blunt that this is not a support role: you are in client meetings from day one, building demos, crafting proposals, running pilots and owning the technical relationship with the customer's technology decision maker through the pre sales cycle. Stated band is three to five years in pre sales, solutions consulting, technical sales or product, which is one of the lower bars in today's list. Location is Delhi.

Published requirement is 3 to 5 years in a pre sales, solutions consulting, technical sales or product role. The position is based in Delhi, which along with the Datadog role makes it one of only two senior openings in the National Capital Region in today's edition. What the role is, in the posting's own framing: the solution architect is the trusted technical advisor bridging what Sarvam builds and what the client needs. You would work alongside the sales and go to market team to understand prospect requirements and translate them into technical narratives, and own the technical relationship with the customer's technology decision maker end to end through the pre sales cycle. The posting states plainly that this is not a support role and that you would be in client meetings from day one, shaping how enterprises understand and evaluate the platform. Concrete activities named: building demos, crafting proposals, running pilots, and working directly with product and engineering teams to close the gap between what a client asks for and what can actually be delivered. Technical domains you would work across: voice AI, document intelligence, multilingual agents and enterprise grade API platforms. That last set is the interesting part of this role. Indian language AI is a hard technical problem with genuine national relevance, and relatively few companies are working on it at depth, so the domain knowledge you would build is scarce and transferable. Fit guidance: the posting says it wants someone who can hold a technical conversation with an engineering lead and a business conversation with a commercial buyer in the same meeting. If you are an engineer who enjoys the customer side, three to five years is a low enough bar to make this a realistic move into solutions architecture, and the pre sales track pays well as it matures. If you want to build the models, this is not that role.