AI Engineer – Investment & Enterprise Solutions
Our client, a global investment management firm in New York City, is hiring for a newly created role focused on building and scaling AI-driven solutions that improve investment and enterprise workflows. This is a high-visibility position within IT, reporting to an MD-level leader with exposure to the CIO and Head of Research, and partnering closely with investment and research teams. The firm is seeking a strong technologist who can translate business needs into production-ready AI applications, with a focus on language and knowledge workflows (research support, retrieval, summarization, automation). Hands-on LLM solution experience is a plus, but not required for candidates with strong software/ML fundamentals and modern AI tooling experience.
Responsibilities Include:
- Build and productionize AI systems that enhance investment and broader enterprise workflows
- Partner heavily with investment and research teams to identify high-impact use cases and deliver scalable solutions
- Develop AI-enabled applications and tools (e.g., knowledge copilots, chatbot-style interfaces, automation workflows)
- Integrate internal and external data sources via APIs and deliver secure solutions on Azure
- Support the long-term growth of the firm’s AI capability, especially around investment-facing solutions
Requirements Include:
- 5+ years of experience in investment management / asset management (required)
- 5+ years of experience in software engineering and/or machine learning
- Strong understanding of applied AI and how modern language models can support real-world workflows
- Experience in the OpenAI ecosystem (ChatGPT Enterprise, Azure OpenAI, GPT APIs, Custom GPTs)
- Microsoft Power Platform experience (Power Apps, Power BI)
- Prior experience building and deploying LLM-driven applications (chatbots, copilots, retrieval-based tools, workflow automation)
- Familiarity with best practices around model evaluation, guardrails, and prompt engineering
Pay: $80/hr-$120/hr
