Global Capital Markets – Leveraged Finance AI Solutions Architect
About The Position
The Leveraged Finance (‘Lev Fin’) group sits within Global Capital Markets (‘GCM’) and focuses on providing comprehensive and innovative financing advice to financial sponsors and non-investment grade corporate issuers across industries. This includes advising clients on optimal capital structure, underwriting financing packages, negotiating terms and documentation, advising on execution considerations and distribution to the institutional syndicated market or private capital markets. Lev Fin offers a mix of products (High Yield Bonds, Leveraged Loans, Private Credit) which help our clients facilitate LBO (‘Leveraged Buyout’) and M&A transactions, repurchase shares, refinance existing debt as well as provide them with working capital and liquidity. The Lev Fin group is made up of Capital Markets, industry coverage, and private credit advisory. In addition to interacting with corporate and sponsor clients and investment banking, Lev Fin works closely with sales and trading and Leveraged Finance investors. Our New York office is looking for an AI Solutions Architect to join the Leveraged Finance Capital Markets team.
Requirements
- Bachelor or Master degree in Computer Science, Engineering, Data Science, or a related field
- 5+ years of experience in cloud solutions, with at least 3 years focused on AI/ML and 1+ year specifically on Generative AI
- Experience building AI powered applications with real world impact (chatbots, summarizers, copilots, etc.)
- Deep understanding of AWS services (e.g., Bedrock, EC2, Lambda, SageMaker)
- Familiarity with LLMs (e.g., Claude, Titan, GPT, LLaMA) and prompt engineering techniques
- Exceptional communication and presentation skills
- Proven ability to succeed in a highly interactive environment where close team engagement and real-time collaboration are essential
Responsibilities
- Assess current workflows across leveraged finance and identify areas for improvement using AI and automation
- Design and implement AI solutions that streamline manual tasks, enhance data processing, and reduce turnaround times
- Collaborate with stakeholders to understand operational pain points and translate them into scalable AI applications
- Integrate AI into internal platforms to support ad hoc and routine reporting
- Drive adoption of AI across the team through training, demos, and hands-on support
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
