AI Foundry BU Deployed Engineer
FactSet (company site, opens in a new tab)10+ yrsHyderabadOn-siteDirect career pageEst. 40–80 LPA
Posted 7h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead AI-native solution design and deployment for financial business units including Banking, Wealth, Buy-Side, and Research teams.
- Translate legacy financial applications into scalable AI workflows, prototypes, and agent architectures using Foundry platforms and APIs.
- Serve as technical lead on strategic pilots and proofs of concept while developing reusable patterns for platform capabilities.
Minimum Requirements
- 5+ years building financial applications with expertise in at least one domain: Wealth Management, Investment Banking, Asset Management, Buy-Side Research, or Institutional Portfolio Management.
- 1+ year experience building AI-based applications including web development or Python APIs, LLMs, prompt engineering, and agent architectures.
- 10+ years software development experience including solution architecture, security, governance, lifecycle, and production deployment (CI/CD, containerization).
- Work Experience Required: Explicitly mentions 5+ years in finance applications, 1+ year AI application experience, and 10+ years software development experience. Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Operates effectively at the intersection of product, engineering, consulting, and financial workflows with demonstrated ability to design agentic AI workflows.
- Experienced in delivering zero-to-one product solutions in ambiguous environments with strong ownership of strategic AI pilots and client demonstrations.
- Strong domain knowledge in financial markets combined with advanced AI engineering skills including multi-agent systems, vector search, evaluation frameworks, and cloud-native development.