Partner with portfolio company technology and product teams to identify and prioritize agentic AI use cases aligned with their product roadmaps and business objectives.
Lead end-to-end delivery of AI agent implementations using Vista’s Agentic Factory methodology, targeting MVP delivery in under a quarter.
Run rapid proof-of-value sprints that demonstrate measurable business impact, then guide portfolio companies from prototype through production deployment.
Lead AI maturity assessments across the portfolio using Vista’s scoring rubrics, identifying gaps and creating tailored improvement roadmaps.
Conduct architectural reviews and provide recommendations for optimizing AI platform performance, scalability, and security.
Design scalable, resilient, and secure AI platforms leveraging public cloud AI services (AWS, Azure, GCP) while maintaining vendor independence through thoughtful abstraction layers.

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
3+ years of experience in AI/ML platform architecture and development, with deep recent experience (2+ years) in generative AI and agentic architectures in production applications.
Demonstrated track record of shipping AI applications to production environments, not just prototypes.
Strong understanding of public cloud AI services and the ability to architect vendor-agnostic solutions with appropriate abstraction layers.
Excellent communication, presentation, and interpersonal skills.
Experience within private equity portfolio companies, consulting, or multi-client environments is a strong plus.

Director, Enterprise AI Platform Architect

Key skills