AI Foundry BU Deployed Engineer
Factset · Hyderabad · onsite · Posted 1d ago
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About this role
Job Summary
AI Foundry - BU Deployed Engineer
Role Overview
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.
Key Responsibilities
Business Unit Solution Ownership
- 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 key high-value primitives to fuel AI agents and workflows (APIs, MCPs / Tools, Agents, and more).
- 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.
AI Solution Development
- Build agentic workflows using Foundry platforms, APIs, MCPs, evaluation frameworks, and agent infrastructure.
- Design prompt, tool, memory, and workflow architectures.
- Create deterministic, auditable workflows suitable for institutional financial clients.
- Leverage evaluation frameworks to improve quality, repeatability, and trustworthiness.
- Prototype and validate new solutions rapidly with end users.
Required Qualifications
Financial Markets Expertise
5+ Years experience building applications in Finance.
Strong understanding of at least one:
- Wealth Management
- Investment Banking
- Asset Management
- Buy-Side Research
- Institutional Portfolio Management
Preferred understanding of:
- Securities
- Equities
- Fixed income
- ETFs
- Mutual funds
- Alternative investments
- Portfolio analytics
- Risk analytics
- Benchmarks
- Performance attribution
AI and Technical Skills
1+ Years experience building AI-based applications.
Required:
- Web Development or Python
- APIs, MCP Implementations, and Tool Calling Architectures
- LLMs
- Prompt engineering
- Agent architectures
- Vector search / RAG
- Evaluation frameworks
- Workflow orchestration
- Cloud-native development
Preferred:
- Multi-agent systems
- Knowledge graphs
- Retrieval systems
- Fine-tuning concepts
- Agent memory systems
- AI governance frameworks
Engineering Fundamentals
10+ Years experience building software applications.
- Solution architecture
- Security and governance
- Software development lifecycle
- Production deployment experience
- CI/CD
- Containerization
Product Builder Mindset
Enjoys creating ambiguous zero-to-one solutions.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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