Lead Software Engineer - (Python/Java/C#/C++)-AI Foundry's Data Foundations

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

As a Lead Software Engineer within AI Foundry’s Data Foundations team, you will play a critical role in building the foundational AI-ready data platform that powers our next generation of investment technology. You will lead the design and development of scalable, resilient systems that ingest, organize, and transform large volumes of financial data and documents, enabling advanced AI, machine learning, and vector-based capabilities across our products. This role offers a unique opportunity to combine deep technical execution with architectural leadership, helping set strategic direction, mentor engineering talent, and deliver the distributed systems that underpin our financial intelligence platform.

What You’II Do

• Architect and lead the design and development of large-scale document ingestion and vectorization pipelines for financial content (PDF, HTML, DOCX, etc.).

• Apply cutting-edge NLP and data processing techniques to extract, classify, and enrich unstructured data for downstream analytics, retrieval, and AI-powered applications.

• Drive system reliability and scalability, building distributed, fault-tolerant data systems in a cloud-native environment.

• Collaborate with data scientists, AI engineers, and product teams to deliver search, recommendation, and generative AI features within the FactSet product suite.

• Mentor and coach engineers, promote best practices, and foster a culture of technical excellence and continuous learning.

• Implement robust testing, validation, and monitoring frameworks to ensure high-quality data outputs and reliable service performance.

• Contribute to FactSet’s innovation strategy by researching and integrating emerging technologies in LLMs, vector databases, and large-scale document retrieval architectures.

What We’re Looking For

• Education: B.Tech/BE/M.Tech/ME in Computer Science or equivalent from a reputed college/university

• Experience: 7+ years of professional software engineering experience, with proven success designing and maintaining production-grade systems.

• Strong programming skills in Python or another OOP language (Java, C#, C++).

• Demonstrated ability to design and implement robust, maintainable, and high-performance software.

• Expertise in distributed systems, retrieval architectures, and scalable data pipelines.

• Proficiency in Linux development environments and version control systems (Git, CI/CD).

Good to have Skills

• Deep knowledge of AI/ML and vectorization frameworks (e.g., BERT, Sentence Transformers, spaCy, OpenAI embeddings).

• Experience with vector databases  (Elasticsearch, OpenSearch, Pinecone, Weaviate) and information retrieval systems.

• Familiarity with cloud ecosystems (AWS, GCP, or Azure) and distributed computation frameworks (Spark, Ray).

• Experience with financial data such as SEC filings, earnings releases, and market research reports.

• Understanding of modern web technologies (JavaScript, Angular, Vue, HTML5/CSS3).

• Exposure to MLOps practices, containerization (Docker, Kubernetes), and continuous deployment for data-intensive applications.
• Strong written and verbal communication skills, with the ability to translate technical insights into practical guidance for cross-functional teams.

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-generat…