AI Solutions Architect

As an AI Solutions Architect at Thinqmesh, you will design how AI fits into the way an organisation already runs. You will weigh models, data, integration, security and cost, then set a direction that engineers can build and leaders can trust.

You will be a senior voice in client conversations, helping leadership teams decide what to do first and what can wait. You will also stay close enough to the code to know that your designs work.

Enterprises have moved from running AI pilots to deciding how AI should work across the whole business. Those decisions, on data access, model choice, security and governance, are expensive to reverse, so organisations want experienced architects who understand both enterprise systems and how AI really behaves.

You will lead technical discovery, then design reference architectures covering retrieval, agents, integration and governance. You will compare hosted and private model options, estimate costs and set out the trade-offs clearly for senior decision-makers.

You will guide delivery teams through implementation, review their designs and step in on the hardest problems. You will also make sure that security, privacy and compliance are designed in from the beginning.

You bring at least six years of designing enterprise systems, with deep experience of a major cloud platform and practical experience of LLM applications. You are comfortable presenting to executives and just as comfortable reviewing an engineer's design.

Experience with MCP and agent architecture, private model hosting or regulated industries would be a strong advantage.

This role is hybrid or remote. It is full time in Noida, and a consultant role in San Francisco, Tustin and London. You will work closely with the client teams and colleagues you support.

Some travel to client sites is likely.

We read every application ourselves. Show us something you have built or shipped, because real work gives us far more to talk about than a list of tools.