FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions.

At FactSet, our values are the foundation of everything we do. They express how we act and operate , serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients' needs and exceeding their expectations.

FactSet's AI & Automation team is the driving force behind employee efficiency. We build advanced AI and automation tools, enabling our global organization to focus on high-value work. As a member of this team, you will play a significant role in curating, designing, implementing, and delivering solutions that support the global workforce's productivity. FactSet's AI & Automation team empowers our employees to operate at scale, unlocking creativity, enabling greater strategic impact, and ensuring exceptional client service. As a team member, you will achieve this by automating routine decision-making, streamlining workflows, and proactively surfacing AI-driven insights.

What You'll Do:

• Architect agentic workflows tailored to task automation within in-house and 3rd-party licensed software service ecosystems.
• Implement agents to automate repetitive manual tasks.
• Design insight generation techniques that summarize key highlights from large, complex datasets and support natural language prompts for deep-dive analysis.
• Construct and maintain robust data pipelines that can process intricate structured and unstructured quantitative and textual data, ensuring high-quality inputs for models.
• Work closely with data scientists and ML engineers to integrate and manage diverse ML and NLP models within production environments effectively.

Required Skills:

• 8+ years of software engineering experience, partially focused on LLM/AI/ML solutions.
• Experience with Python notebooks in Databricks (or similar tech stack) is essential.
• Robust hands-on experience with LLM SaaS providers (OpenAI, Claude, Gemini).
• Demonstrated expertise and managed services within cloud architecture (primarily AWS).
• Proficiency in Python/Typescript/Nodejs, with strong API development skills.
• Knowledge of major database architectures, including SQL, NoSQL, and Vector databases.
• Experience with Knowledge Graphs and architecting LLM-powered solutions.

Desired Skills:

• Excellent communication skills, capable of engaging both technical and business audiences alike.
• Ability and interest to lead cross-functional high-impact projects.
• Mentor junior team members.

Education:

• Bachelor's or master's degree in computer science or equivalent.

Company Overview:

FactSet ( NYSE:FDS | NASDAQ:FDS ) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees' Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn .

At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.