Director, Enterprise AI Platform Architect

Vista Equity Partners Management

1d•$200,000 - $315,000

About The Position

Vista Equity Partners is seeking a hands-on Enterprise AI Platform Architect to drive AI innovation across our 90+ portfolio companies. This role sits at the center of Vista’s Agentic Factory, our methodology for collaborating with portfolio companies to identify high-value agentic use cases and rapidly build production AI agents that deliver measurable business impact. The ideal candidate combines deep technical expertise in generative AI, agents, and agentic architectures with the ability to move fast, shipping MVPs in compressed timelines and designing platforms that perform reliably in enterprise environments. You will work directly with portfolio company technology teams to design, implement, and scale AI solutions that enhance product offerings and drive competitive advantage. This is a deep technical role regarding hands-on work alongside the portfolio engineering teams.

Requirements

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
3+ years ofexperience 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.

Nice To Haves

Experience within private equity portfolio companies, consulting, or multi-client environments is a strong plus.

Responsibilities

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.
Develop and maintain reference architectures for AI applications, including generative AI models, agentic systems, and multi-agent collaboration patterns.
Design appropriate autonomy levels for enterprise agent deployments, incorporating human-in-the-loop checkpoints calibrated to risk, regulatory requirements, and domain complexity.
Define standards for AI model development, deployment, monitoring, and governance, including data privacy, model provenance, and audit trails for agent decision-making.
Serve as a subject matter expert on generative AI, agents, and agentic architectures, providing thought leadership and strategic guidance to portfolio companies and Vista leadership.
Identify and evaluate emerging AI technologies and trends, assessing their potential impact on portfolio company product roadmaps and Vista’s investment thesis.
Develop and evangelize best practices for AI platform design, development, and deployment across the portfolio.
Assist in the due diligence process for potential portfolio companies, assessing AI technology capabilities, technical debt, and readiness for agentic AI adoption.
Provide technical assessments that inform investment decisions and post-acquisition value creation plans.