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.
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.
Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution.
Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs.

5+ years of experience in program management, technical account management, or delivery roles within AI, data infrastructure, or complex technology environments.
Proven experience managing cross-functional implementations involving multiple stakeholders (internal teams, clients, external partners).
Strong ability to operate at the intersection of technical and business domains.
Familiarity with AI/ML deployment concepts, including model inference, edge/local AI, and distributed compute architectures.
Understanding of APIs, SDK integrations, and system architecture patterns.
Strong communication and stakeholder management skills, including experience working with enterprise or government entities.
Structured approach to project tracking, documentation, and governance.
Ability to manage ambiguity and operate in fast-evolving, early-stage environments.

Engagement Manager, AI Implementations

Key skills