Requirements
Requires 15-20 years of hands-on engineering/architecture experience with real production shipping experience. Must have full-stack range across data, model, integration, and agentic layers, with deep familiarity with major cloud AI/agentic platforms (Azure AI Foundry, AWS Bedrock, Google Vertex AI) and open-source frameworks like LangChain and LangGraph. Strong grasp of technical compliance, security architecture, data residency, and integration risk for enterprise AI is essential. Must be comfortable with client-facing presentations, defending designs, and coaching junior technical staff.
Description
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 solutioningEmbed in live pursuits to validate technical feasibility before scope is finalizedOwn end-to-end design of the PoC/PoV — architecture, data, integration approach — scoped tight enough to prove the value hypothesisSolution, Build and ship the PoC/PoV solo or with a small team, fast enough to matter inside the sales cycleAssess 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 proofOwn structured technical handover to Delivery — blueprint, risk log, and technical narrative for the incoming podServe as the senior technical voice in client-facing oral presentations and technical defense sessionsRepresent delivery feasibility and implementation methodology to client technical stakeholders during the pursuitPartner with the AI Deployment Strategist to keep scope technically realistic against timeline/budgetCoach and calibrate junior technical staff embedded in the same pursuitFlex into supporting multiple concurrent pursuits when Hub capacity is stretchedRequirements:15–20 yrs hands-on engineering/architecture, with real production shipping experience, not just PoCsFull-stack range across the data/model/integration/agentic stack — can build across layers without waiting on a specialistDeep 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 MUSTStrong grasp of technical compliance considerations (security architecture, data residency, integration risk) for enterprise AIDeep understanding of delivery/implementation methodology — how a PoC path realistically becomes a production rolloutCan defend a design under technical challenge from the client's own engineers or architectsComfortable being customer-facing while under sales-cycle time pressureExecutive and technical presentation skills — leads client orals and hands-on technical demonstrations personallyPrior forward-deployed, startup, or embedded-consulting experience is a strong plusCoaching presence for junior technical staff on live pursuitsResilient — handles multiple concurrent high-stakes pursuits without dropping qualitySuccess metrics: PoC/PoV cycle time to client sign-off · technical win rate on pursuits led · handover quality (delivery-reported accuracy of scope vs. as-built)