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Job 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 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, fast 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 enterprise AI

  • Deep understanding of delivery/implementation methodology — how a PoC path realistically becomes a production rollout

  • Can defend a design under technical challenge from the client's own engineers or architects

  • Comfortable being customer-facing while under sales-cycle time pressure

  • Executive and technical presentation skills — leads client orals and hands-on technical demonstrations personally

  • Prior forward-deployed, startup, or embedded-consulting experience is a strong plus

  • Coaching presence for junior technical staff on live pursuits

  • Resilient — handles multiple concurrent high-stakes pursuits without dropping quality
  • Success 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)

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About Company

Job ID: 153737029

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