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FactSet

Subscription-based financial data and analytics platform

AI Foundry BU Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of experience building applications in finance.
  • Strong understanding of at least one of wealth management, investment banking, asset management, buy-side research, or institutional portfolio management.
  • At least 1 year of experience building AI-based applications.
  • Experience with web development or Python.
  • Experience with APIs, Model Context Protocol implementations, and tool-calling architectures.
  • Experience with large language models, prompt engineering, agent architectures, vector search or retrieval-augmented generation, evaluation frameworks, workflow orchestration, and cloud-native development.
  • At least 10 years of experience building software applications.
  • Experience with solution architecture, security and governance, software development lifecycle, production deployment, continuous integration and continuous delivery, and containerization.
  • Ability and interest in creating ambiguous zero-to-one solutions.

Responsibilities

  • Partner directly with Banking, Wealth, Buy-Side, and Research teams to identify high-value AI opportunities.
  • Design AI-native workflows that solve real user problems rather than simply embedding AI into existing products.
  • Deconstruct existing products and applications into high-value primitives for AI agents and workflows, including APIs, Model Context Protocol tools, and agents.
  • Serve as the technical lead for strategic pilots, proofs of concept, and forward-deployed engagements.
  • Develop reusable patterns that can transition from custom solutions into scalable platform capabilities.
  • Build agentic workflows using Foundry platforms, APIs, Model Context Protocol, evaluation frameworks, and agent infrastructure.
  • Design prompt, tool, memory, and workflow architectures.
  • Create deterministic, auditable workflows suitable for institutional financial clients.
  • Use evaluation frameworks to improve quality, repeatability, and trustworthiness.
  • Rapidly prototype and validate new solutions with end users.

Desired Qualifications

  • Understanding of securities, equities, fixed income, exchange-traded funds, mutual funds, alternative investments, portfolio analytics, risk analytics, benchmarks, and performance attribution.
  • Experience with multi-agent systems, knowledge graphs, retrieval systems, fine-tuning concepts, agent memory systems, and AI governance frameworks.

About the Company

FactSet

Subscription-based financial data and analytics platform

FactSet provides financial data and analytics software to investment professionals through a subscription-based platform. It offers market data, fixed income data, and research management tools that deliver real-time and historical data, along with advanced analytics, to help asset managers, investment bankers, wealth advisors, and other financial professionals make informed decisions. The platform is customizable to fit different clients’ needs, and FactSet also offers consulting and support services to maximize subscription value. The company differentiates itself through a strong focus on client service and ongoing platform updates that incorporate the latest data and analytical techniques, aiming to be a trusted, comprehensive source for financial information. Its goal is to enable better investment decisions by providing access to broad data sets and sophisticated analytics within an integrated suite of tools.

Company size
10,001+
Company stage
IPO
Headquarters
Norwalk, CT
Founded
1978

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