Prompt Engineer || NYC

Prompt Engineer Alt Investments • NYC onsite • SPI - S2TVSF, S2TVT4 Start date: ASAP Location: NY Onsite Skills/JD below Experience: Minimum 7 years in Business Operations, ideally within Private Equity or Alternative Investments, with a proven record of leveraging GenAI technologies, especially in prompt engineering. Direct experience with Generative LLMs in a financial services context is essential. Industry Domain Knowledge: Deep familiarity with PE/AIM terminology, investment processes, and market dynamics; experience with LP relations, fundraising, and co-investment strategies is highly advantageous. Technical Skills: In-depth understanding of AI/ML concepts, proficient in Generative LLM powered applications, mastery of Agentic workflow techniques, adeptness with data analysis tools (Python, R, SQL), and familiarity with cloud platform Azure preferred. Primary Responsibilities: 1. Strategic Operations Optimization & Workflow Automation: § Partner with Investment Managers and Strategists to pinpoint bottlenecks and inefficiencies in their operational pipelines, from sourcing deals to portfolio management. § Engineer and fine-tune automated workflows utilizing Agentic methodologies and Generative LLMs to accelerate lead generation, due diligence, and capital deployment processes. § Craft bespoke prompts for LLM technologies to distill critical information and enhance decision-making across various stages of the investment lifecycle. 1. AI-Powered Product Innovation: § Collaborate with our product development arm to integrate LLMs for pioneering features or augmenting existing functionalities, ensuring alignment with the discerning needs of our limited partners and fund managers. § Lead the strategic initiative of embedding AI into our research, deal origination, and execution protocols, positioning us at the forefront of technological advancement in PE/AIM. 1. Data Analytics for Strategic Advantage: § Interpret vast datasets to reveal actionable trends, risk profiles, and growth vectors that inform our investment thesis and operational efficiencies. § Communicate insights and recommendations to senior leadership, bolstering evidence-based decision-making crucial for our multi-billion-dollar asset base. 1. Domain-Driven Collaboration & Thought Leadership: § Serve as the bridge between technological innovation and business strategy, championing a culture of innovation and relentless improvement within our organization. § Mentor junior colleagues, sharing expertise in both Private Equity/Alternative Investment Management and the practical application of AI.