Skip to main content

About the role

Vice President, AI Platform Engineering
About the Company:
  • Leading international alternative asset organization offering comprehensive investment solutions
  • IndustryInvestment Management
  • TypePublic Company
  • Founded1997Employees1001-5000 Categories
  • Consulting & Professional Services
  • Investment ManagementALTERNATIVE ASSET MANAGERARESARES MANAGEMENTARES MANAGEMENT CORPORATIONASSET MANAGERCreditInvestment ServicesLLCPRIVATE EQUITYREAL ESTATESecuritiesAsset Management
  • FinanceFinancial Services
  • Specialtiesprivate equitycreditreal estatestrategic initiativesalternative asset managementfinancial servicesinvestment managementand direct lending
Business ClassificationsB2BAbout the RoleThe Company is in search of a Vice President for AI Platform Engineering to play a pivotal role in the design, development, and scaling of its enterprise AI platform. This hands-on engineering position is within the central Data & AI organization, and the successful candidate will be responsible for creating and operating production-grade services that support a variety of AI use cases. Key responsibilities include owning major platform components, developing reusable APIs and services, and ensuring the security, reliability, and scalability of AI applications. The role also involves close collaboration with cross-functional teams, including AI engineering, data engineering, product management, and cybersecurity, to bring AI solutions from concept to production. Applicants for the Vice President, AI Platform Engineering role at the company should have a Bachelor's degree in a technical discipline and at least 8 years of professional experience in software engineering, data engineering, machine learning engineering, or a related field. A minimum of 2 years of hands-on experience in building Generative AI, LLM, machine learning, or AI platform solutions in production is required. The ideal candidate will have strong Python engineering skills, experience with cloud platforms (preferably Azure), and a solid background in DevOps practices. Familiarity with AI/ML technologies such as RAG, embeddings, and prompt engineering is essential, as is a deep understanding of software security and experience in delivering scalable, reliable production systems. The role demands a leader with excellent communication and stakeholder management skills, capable of driving complex technical initiatives and fostering a culture of engineering excellence. Hiring Manager Title Managing Director, Head of Data Engineering & AI Platforms FunctionsEngineeringData Management/Analytics

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

More like this