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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.
Your Team's Impact
AI Foundry - BU Deployed Engineer
The AI Foundry Forward Deployed SBU Engineer serves as the bridge between AI platform capabilities and real-world financial workflows. This role combines deep domain expertise in capital markets with strong AI engineering skills to rapidly design, prototype, deploy, and scale AI-native solutions for specific business units and strategic client opportunities.
Unlike a traditional software engineer, this individual is expected to operate at the intersection of product, engineering, consulting, and financial workflows. They must understand how investment professionals, advisors, bankers, analysts, portfolio managers, and relationship managers work, and be capable of helping existing teams translate their applications from legacy systems to modern AI-native designs. The ideal candidate is comfortable with tackling large open-ended problems, designing agent workflows with product teams, integrating APIs and MCPs with engineers, and demonstrating solutions directly to clients.
What You'll Do
Business Unit Solution Ownership
AI Solution Development
What We're Looking For
Financial Markets Expertise
5+ Years experience building applications in Finance.
Strong understanding of at least one:
Preferred understanding of:
AI and Technical Skills
1+ Years experience building AI-based applications.
Required:
Preferred:
Engineering Fundamentals
10+ Years experience building software applications.
Required:
Product Builder Mindset
Enjoys creating ambiguous zero-to-one solutions.
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.
From live job posts on CoreHRx, updated 5 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹11L – ₹24L a year (typical for IT Jobs in India, 940 posts).
The post asks for 5 Yrs experience.
It is a full time job.
Interview preparation · 60 questions
This page helps Indian job seekers prepare for Python interviews for backend, data engineering and data analyst roles, whether you are a fresher facing your first technical round or an experienced developer aiming for a senior position. It has 60 questions in three levels, easy, medium and hard, each with a concise sample answer and, where it helps, runnable Python 3.12 code. Topics include data structures, OOP, generators, decorators, the GIL and concurrency, type hints, testing and performance. Answer each question aloud in your own words first, then compare with the sample answer and run the code to check your understanding.
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