We are hiring Field CTO who will provides technical feasibility input during the pursuit, embeds pre-sale to validate design, and owns end-to-end solution design and short PoC build before handoff to delivery.

Responsibilities:

Lead end-to-end AI presales and solutioning

Embed in live pursuits to validate technical feasibility before scope is finalized

Own end-to-end design of the PoC/PoV — architecture, data, integration approach — scoped tight enough to prove the value hypothesis

Solution, Build and ship the PoC/PoV solo or with a small team, rapid enough to matter inside the sales cycle

Assess technical architecture and compliance risk during the pursuit (security, data residency, integration complexity)

Pull in SPOKE specialists (Solution Architect, Data Scientist, MLOps Engineer) only when the pursuit needs deeper technical proof

Own structured technical handover to Delivery — blueprint, risk log, and technical narrative for the incoming pod

Serve as the senior technical voice in client-facing oral presentations and technical defense sessions





Represent delivery feasibility and implementation methodology to client technical stakeholders during the pursuit

Partner with the AI Deployment Strategist to keep scope technically realistic against timeline/budget

Coach and calibrate junior technical staff embedded in the same pursuit

Flex into supporting multiple concurrent pursuits when Hub capacity is stretched

Requirements:

15–20 yrs hands-on engineering/architecture, with real production shipping experience, not just PoCs

Full-stack range across the data/model/integration/agentic stack — can build across layers without waiting on a specialist

Deep familiarity with major cloud AI/agentic platforms — Microsoft Azure AI Foundry, AWS Bedrock (incl. Strands Agents), and Google Vertex AI; open-source frameworks (LangChain, LangGraph) is a MUST

Strong grasp of technical compliance considerations (security architecture, data residency, integration risk) for

📌 Field CTO (India)
🏢 Systems
📍 India