Consultant, Agentic Factory

Role Description

Vista Equity Partners is seeking a hands-on Consultant to join the 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. This is an early-career role that blends hands-on-keyboard contribution to agent-first repositories with the cross-engagement program management that keeps concurrent portfolio builds running.

The ideal candidate is an early-career builder who writes code and also takes ownership of the operational machinery behind delivery — coordinating across concurrent portfolio-company engagements and owning the mechanics that hold them together. You will work directly with the Factory engineering team and portfolio company stakeholders, with significant exposure to senior Vista and portfolio leadership.

This is a hands-on role that combines technical contribution with program execution across a fast-moving, multi-engagement environment.

Responsibilities

What You Will Do

• Hands-On Agentic Delivery
  • Contribute hands-on-keyboard to agent-first repositories — building, testing, and iterating on production AI agents alongside the Factory engineering team.
  • Implement and refine agent components, integrations, and tooling under compressed build timelines.
  • Support MVP delivery for portfolio company engagements, targeting production deployment in under a quarter.
  • Help instrument agents for monitoring, evaluation, and reliability in enterprise environments.
• Cross-Engagement Program Management
  • Coordinate delivery across concurrent portfolio-company builds, tracking milestones, dependencies, and risks.
  • Own the operational mechanics of the Agentic Factory program — scheduling, status tracking, documentation, and engagement tooling that keep multiple builds running in parallel.
  • Serve as a connective point across engineering, portfolio company stakeholders, and Vista leadership, keeping everyone aligned on status and next steps.
  • Capture and codify reusable patterns, templates, and friction logs that improve the Factory’s repeatability.
• Learning & Contribution
  • Develop deep, hands-on fluency in agentic architectures and the Agentic Factory methodology.
  • Contribute to best practices, internal tooling, and process improvements across the team.
• Due Diligence Support
  • Support the due diligence process for potential portfolio companies by helping assess AI capabilities and readiness for agentic adoption.
  • Assist in preparing technical assessments that inform investment decisions and value creation plans.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
• 0–3 years of experience; recent graduates and early-career professionals are encouraged to apply.
• Demonstrated hands-on coding ability — through internships, projects, coursework, or prior roles.
• Genuine interest in generative AI and agentic systems, and the drive to ramp quickly.
• Excellent communication, organization, and interpersonal skills.
• Experience or interest in private equity portfolio companies, consulting, or multi-client environments is a plus.

Requirements

• Solid programming fundamentals, ideally in Python, with comfort working in Git-based repositories.
• Familiarity with, or strong interest in, LLMs, agents, and agentic architectures.
• Exposure to public cloud environments (AWS, Azure, or GCP) and modern development workflows.
• Eagerness to write, read, and debug production code with guidance from senior engineers.
• Strong organization and the ability to track many moving parts across concurrent workstreams.
• Clear written and verbal communication with both technical and business stakeholders.
• Comfort operating in ambiguous, fast-moving environments.
• A bias toward owning the unglamorous operational details that keep delivery on track.

Benefits

• The annualized base pay range for this role is expected to be between $105,000 - $140,000.
• Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, and the applicant's skill set.
• The base pay is just one component of the total compensation package for employees.
• Other rewards may include an annual cash bonus and a comprehensive benefits package.