Artificial Intelligence Engineer

KPG99 INC; New York (NY); Hybrid; USD 180,000 - 230,000; Full time

Job summary

KPG99 INC is seeking a Senior Vice President of AI Engineering for their Private Credit Platform in New York City. This full-time hybrid role requires a minimum of 12 years of AI engineering leadership experience. You will lead a team of engineers to deliver innovative AI solutions for private credit investments.

The ideal candidate has extensive capital markets experience, strong coding skills in Python, and a good command of modern data architecture and cloud platforms like Azure. This role emphasizes team leadership and hands-on coding.

Qualifications

• 12+ years of experience minimum in AI engineering leadership.
• Demonstrated leadership of engineering teams.
• Recent experience building trading platforms in a capital markets environment.
• Strong command of cloud platforms and data architecture.

Responsibilities

• Lead AI engineering across our investment platform.
• Own the design and delivery of production AI system(s).
• Lead a team of 8 engineers while writing code.

Skills

AI engineering leadership

Python

Capital markets experience

Modern LLM frameworks

Cloud platforms (Azure)

Data architecture

Job description

Job Overview

SVP, AI Engineering – Private Credit Platform

This is a full-time position. Candidates must be able to go full time from day one. The role requires 12+ years of experience minimum (15+ preferred).

Location

Hybrid / NYC – 3 days on-site. No relocation.

Responsibilities

Lead AI engineering across our investment platform with a primary focus on private credit. Own the design and delivery of existing and evolving production AI system(s) that change how we source, underwrite, monitor, and report on Private Credit investments. Lead a team of 8 engineers (onshore and offshore) while still writing code yourself. This is a builder’s seat, not a strategy seat.

Qualifications

• 12+ years of experience minimum in AI engineering leadership (15+ preferred).
• Demonstrated leadership of engineering teams in the 6–10 range, having hired, developed, and retained people.
• Recent experience building trading platforms in a capital markets environment.
• Projected tenure and long projects; recent local projects required.
• Good tenure and/or long projects; no relocation.
• Experience with Python, modern LLM frameworks, cloud platforms (Azure), and modern data architecture.

Experience Verification

1. Years working with AI Engineering Lead.
2. Years working with Capital Markets.
3. Years working with demonstrated leadership of engineering teams.
4. Years building production AI systems and data pipelines in Python.
5. Years with strong command of cloud platforms and data architecture.

Interview

Type of Interview Required: Video.

EEO Statement

We are an equal opportunity employer.