Head of AI Innovation – Private Equity (Build & Scale Applied AI Solutions)

Saragossa; New York (NY); On-site; USD 250,000 - 350,000; Full time

Job summary

Saragossa is seeking an innovative engineer to integrate AI into private equity. This hands-on role involves managing a small team while quickly transforming ideas into prototypes, especially leveraging tools like Claude Code within the Microsoft ecosystem. Candidates should have substantial experience in AI and a proven track record of enhancing processes through agentic AI solutions. Compensation ranges from $250,000 to $350,000 based on experience.

Qualifications

• Experience in AI integration and building agentic solutions is essential.
• Proven ability to manage a small team and rapidly develop prototypes.
• Familiarity with Microsoft tools and managing innovation in a lean environment.

Responsibilities

• Act as an internal innovation hub and generate new ideas.
• Build and iterate on AI prototypes quickly.
• Manage a small team and drive AI within the organization.

Skills

AI integration

Prototyping

Team management

Microsoft ecosystem

Tools

Claude Code

Job description

Are you passionate about engineering and AI? The AI revolution is here, and we’re looking for someone who wants to own, transform, and integrate AI within a private equity ecosystem.

In this role, you will act as an internal innovation hub, generating ideas and rapidly building proof-of-concepts. This is a hands-on position where you’ll be expected to move quickly from concept to prototype, using tools like Claude Code and other modern AI tooling to build and iterate fast.

From a technical standpoint, the team is relatively lean and tends to leverage off-the-shelf solutions where appropriate, with a strong emphasis on the Microsoft ecosystem.

You’ll also manage a small initial team, with potential for that function to grow over time.

Full transparency: without private credit or private equity experience, and without being genuinely up to speed on the current AI landscape - with clear, end-to-end examples of building agentic AI solutions that have meaningfully improved processes, you’ll likely face an uphill battle in the interview process.

Comp varies by experience with a range of (250k-350k)