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Director, AI Solutions Engineer

Remote · Thailand Full-time

Director, AI Solutions Engineering Position Type: Remote Full Time (Prefer someone from NJ/NY) Travel: Upto 50% across USA Role Overview The Director, Solutions Engineering sits at the intersection of executive business strategy and technical architecture. This person leads customers from a business problem to a validated, scoped technical solution — engaging C-level and senior stakeholders on outcomes, whiteboarding the technical approach, and partnering with Solution Architects to pressure-test and estimate the detailed implementation. Core Responsibilities Engage C-level and executive stakeholders to identify desired business outcomes and map them to technical solution directions. Lead discovery calls and pre-sales workshops to scope customer requirements. Define and whiteboard high- to mid-level technical solutions, owning solution design and scoping through to a defined approach. Establish directional sizing, effort, and timeline estimates for proposed technical solutions. Partner with Solution Architects to define, validate, and pressure-test low-level technical solution designs. Partner with Solution Architects to build detailed effort estimates and Statements of Work (SOWs) for solution implementation. Build and deliver client-facing proposals and pre-sales presentations. Own the hand-off from pre-sales to delivery, ensuring continuity of solution intent and context. Drive account growth strategy, proactively identifying cross-sell and up-sell opportunities. Establish and maintain customer relationships through onsite meetings, events, and other engagement. Support Alliance partnerships through partner events (e.g., technical talks) and maintaining partner competencies. Serve as a technical thought leader, representing the company's point of view externally. People manager and functional lead for Solution Architects REQUIRED SKILLSETS Cloud Engineering & Architecture Network Engineering Cybersecurity Hybrid Cloud & On-Premises Infrastructure Platform Engineering & DevOps Data & AI Application Modernization Pre-Sales Acumen & Communication PREFERRED EXPERIENCE 10+ years of experience in enterprise IT with at least 5 years in a client-facing pre-sales, solution architecture, or technical advisory capacity. Experience working within a professional services or IT consulting firm serving enterprise or Fortune 1000 accounts. One or more professional cloud certifications (Google Cloud Platform Professional Cloud Architect, AWS Solutions Architect Professional, Azure Solutions Architect Expert). Experience with verticals including BFSI, Healthcare & Life Sciences, Manufacturing, Energy, or Government is strongly preferred.

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