Consultant, Agentic Factory

Vista Equity Partners; United States; On-site; USD 105,000 - 140,000; Full time

Benefits offered by this job

Annual cash bonus

Comprehensive benefits package

Job summary

Vista Equity Partners is hiring a hands-on Consultant for the Agentic Factory to work on high-value AI projects. This role involves collaborating to build production AI agents and managing portfolio company engagements effectively.

The ideal candidate is expected to have strong programming skills, a degree in a relevant field, and a keen interest in generative AI. This is an incredible opportunity for recent graduates to start their careers in a dynamic environment.

Qualifications

• 0–3 years of experience; recent graduates encouraged to apply.
• Demonstrated hands-on coding ability through internships or coursework.
• Genuine interest in generative AI and agentic systems.

Responsibilities

• Contribute hands-on to agent-first repositories.
• Coordinate delivery across concurrent portfolio company builds.
• Support due diligence process for potential portfolio companies.

Skills

Solid programming fundamentals in Python

Comfort with Git-based repositories

Familiarity with LLMs and agentic architectures

Strong organization skills

Excellent communication skills

Education

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field

Job description

Position Summary

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 early‑career role blends hands‑on keyboard contribution to agent‑first repositories with cross‑engagement program management that keeps concurrent portfolio builds running.

Responsibilities

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.

What You Bring

Technical Foundation

• 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.

Operational Strength

• 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.

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.

Annualized base pay range: $105,000–$140,000. Other rewards may include an annual cash bonus and a comprehensive benefits package.