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Niche, customer-facing AI strategist at a VC-backed metro startup yields moderate applicant density.
Requires AI solutioning and enterprise architecture, making skills less transferable across industries.
Explicit 7+ years, hands-on generative AI, cloud, and enterprise architecture requirements make filters stringent.
Own end-to-end design and architecture of AI-driven business transformation projects embedded with customers.
Act as the technical lead and strategist bridging pre-sales, customer success, engineering, and product teams to deliver scalable AI solutions.
Drive delivery and oversee implementation ensuring architectural alignment, quality, compliance, and measurable business outcomes.
7+ years experience in solution architecture or consulting with enterprise-scale, customer-facing software implementations.
Hands-on experience with generative AI tools, cloud platforms (AWS, GCP, or Azure), and modern integration patterns (APIs, webhooks, pipelines).
Bachelor's degree in Computer Science, Engineering, or related discipline.
Willingness and ability to travel 80–90% to client locations.
Experienced in enterprise SaaS/platform architectures with knowledge of extensibility and multi-tenant design principles.
Strong business acumen translating customer priorities into technical execution plans and tracking success with OKRs/KPIs.
Proven ability to lead complex, multi-track projects while acting as a technical trusted advisor to diverse stakeholders.