Senior AI Engineer – Enterprise GenAI Platform

0200 Ares Operations LLC; New York (NY); On-site; USD 150,000 - 175,000; Full time

Benefits offered by this job

401(k) program with company match

Medical/Rx, Dental and Vision plans

Flexible Savings Accounts (FSA)

HSA with company contribution

Job summary

Ares Management LLC in New York seeks a Senior Associate, AI Engineer to help build and operate the firm’s enterprise AI platform and production AI capabilities across investment and corporate functions. The role is hands-on within the central Data & AI organization.

You will work with senior engineers, data engineers, product managers, and business teams to deliver production-grade AI services, tooling, and reusable patterns while ensuring governance, security, and reliability across enterprise

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, or related technical discipline.
• 4+ years of professional software/ML engineering or related experience.
• Strong Python development and production-quality software experience.
• Experience designing or consuming APIs, services, and cloud-based apps.
• Experience with Azure or major cloud platforms; familiar with DevOps practices.

Responsibilities

• Write clean, maintainable production code in Python and modern software practices.
• Develop APIs, services, libraries, and reusable components for AI applications.
• Participate in design reviews, testing, troubleshooting, and production support.
• Partner with senior engineers to implement platform architecture and standards.
• Own engineering components and workstreams from development to deployment and operation.

Skills

Python

API design

Problem solving

Communication

Collaboration

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

Azure

Git

CI/CD

Containers

Monitoring

Job description

Ares Management LLC in New York seeks a Senior Associate, AI Engineer to help build and operate the firm’s enterprise AI platform and production AI capabilities across investment and corporate functions. The role is hands-on within the central Data & AI organization.

You will work with senior engineers, data engineers, product managers, and business teams to deliver production-grade AI services, tooling, and reusable patterns while ensuring governance, security, and reliability across enterprise