• Act as the primary point of contact for clients and partners during AI implementation initiatives • Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy-preserving architectures). • Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment. • Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning. • Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environments. • Produce executive-level updates summarizing progress, risks, blockers, and next steps.

• Act as the primary point of contact for clients and partners during AI implementation initiatives. • Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities. • Support Expansion team in shaping AI-related opportunities by providing input on feasibility, integration complexity, and delivery approach. • Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment. • Define implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers. • Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environments. • Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution. • Facilitate integration between client systems and QVAC components. • Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs. • Produce executive-level updates summarizing progress, risks, blockers, and next steps.

• Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication, expectation alignment, and structured execution. • Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy-preserving architectures). • Support Expansion team in shaping AI-related opportunities by providing input on feasibility, integration complexity, and delivery approach. • Identify opportunities to extend implementations across additional use cases, geographies, or Tether technologies. • Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment. • Define implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers. • Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning. • Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environments. • Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution. • Facilitate integration between client systems and QVAC components, including model deployment pipelines, APIs, and compute environments. • Work with legal and compliance teams where required, particularly in sensitive AI deployments involving data locality or privacy constraints. • Maintain structured communication flows across all stakeholders involved in the implementation lifecycle. • Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs. • Produce executive-level updates summarizing progress, risks, blockers, and next steps. • Ensure documentation of implementation architectures, deployment patterns, and key learnings for reuse across future projects. • Support escalation management and ensure timely resolution of technical or operational challenges.

• Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication, expectation alignment, and structured execution. • Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy-preserving architectures). • Support Expansion team in shaping AI-related opportunities by providing input on feasibility, integration complexity, and delivery approach. • Identify opportunities to extend implementations across additional use cases, geographies, or Tether technologies. • Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment. • Define implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers. • Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning. • Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environments. • Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution. • Facilitate integration between client systems and QVAC components, including model deployment pipelines, APIs, and compute environments. • Work with legal and compliance teams where required, particularly in sensitive AI deployments involving data locality or privacy constraints. • Maintain structured communication flows across all stakeholders involved in the implementation lifecycle. • Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs. • Produce executive-level updates summarizing progress, risks, blockers, and next steps. • Ensure documentation of implementation architectures, deployment patterns, and key learnings for reuse across future projects. • Support escalation management and ensure timely resolution of technical or operational challenges.