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全职 Field CTO 工作, 薪水, Systems Limited Federal Territory 公司招聘中 - Ricebowl

Field CTO

Systems Limited

KL City, Federal Territory

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工作地点

  • Jalan Sultan Mizan Zainal Abidin, Kompleks Kerajaan Kuala Lumpur Federal Territory Malaysia

职位描述

岗位职责

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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