AI Foundry BU Deployed Engineer
FactSet (company site, opens in a new tab)10+ yrsHyderabadOn-siteDirect career pageEst. 35–60 LPA
Posted 8h ago
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Job description
Structured overview of role & requirements
About This Role
- Own the design, prototyping, and deployment of AI-native workflows integrating AI platforms with financial business units like Banking, Wealth, and Research.
- Lead technical pilots, proofs of concept, and forward-deployed AI engagements, creating reusable patterns for scalable platform capabilities.
- Bridge product, engineering, consulting, and financial workflows by transforming legacy applications to modern AI-native solutions aligned with financial user needs.
Minimum Requirements
- 5+ years experience building applications in Finance with strong understanding in at least one domain: Wealth Management, Investment Banking, Asset Management, Buy-Side Research, or Institutional Portfolio Management.
- 10+ years of software application development experience including solution architecture, security and governance, and production deployment.
- 1+ years experience building AI-based applications with skills in Web Development or Python APIs, MCP implementation, LLMs, prompt engineering, agent architectures, vector search/RAG, evaluation frameworks, and workflow orchestration.
- Work Experience Required: At least 5 years in finance applications and 10 years in software development; Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced at operating at the convergence of AI engineering, product design, and domain-specific financial workflows, capable of handling ambiguous zero-to-one solution development.
- Demonstrates strong financial domain bias with expertise in capital markets and related verticals (e.g., Wealth Management, Investment Banking).
- Technically proficient in integrating AI platforms with complex financial workflows, developing agentic AI architectures and scalable AI-native workflows in cloud environments.