VP of Solutions Architect - AI - jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a VP of Solutions Architect - AI based in United States.

This executive-level role focuses on designing and delivering enterprise-grade AI solutions built on advanced cloud technologies. You will lead the architecture strategy for generative and agentic AI platforms, helping organizations transform complex business challenges into scalable solutions. The position combines deep technical expertise, strategic consulting, and hands-on innovation across modern AI and cloud ecosystems. You will collaborate with engineering teams, executives, and enterprise clients to define secure, production-ready architectures. This role offers the opportunity to influence AI adoption strategies, establish best practices, and shape the future of AI-powered solutions. The ideal candidate thrives in ambiguity, enjoys solving complex problems, and brings a strong passion for responsible AI innovation.

Accountabilities:

As a VP of Solutions Architect - AI, you will own the technical vision and execution of enterprise AI architecture initiatives, guiding clients and internal teams from initial discovery through successful production deployment. You will combine architecture leadership, hands-on technical expertise, and business understanding to deliver secure, scalable, and impactful AI solutions.

• Serve as the primary technical advisor for strategic clients, leading AI architecture discussions from concept development to production implementation.
• Design advanced generative AI and agentic AI solutions using cloud-native AI services, including foundation models, retrieval-augmented generation (RAG), multi-agent systems, and orchestration frameworks.
• Create reference architectures, technical documentation, architecture decision records, and implementation roadmaps aligned with business objectives.
• Validate solution feasibility through hands-on prototyping, development, and experimentation using programming languages, AI SDKs, and cloud services.
• Ensure solutions follow cloud architecture best practices related to security, reliability, scalability, cost optimization, and operational excellence.
• Guide technical teams through complex architecture decisions involving AI models, performance requirements, governance, compliance, and infrastructure choices.
• Provide leadership and mentorship to engineering teams, helping establish best practices for AI engineering, MLOps, observability, and secure cloud development.
• Develop reusable accelerators, infrastructure modules, and automation frameworks to improve delivery efficiency.
• Support customer engagements, workshops, pre-sales activities, and strategic initiatives by translating technical concepts into business value.
• Collaborate with product, engineering, research, and customer-facing