AI Foundry BU Deployed Engineer
First seen by Alion on Nov 13, 2026. FactSet scores B on the Alion truth index.
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:
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.
What You'll Do:
- 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.
What We're Looking For:
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.
- Required:
- Solution architecture
- Security and governance
- Software development lifecycle
- Production deployment experience
- CI/CD
- Containerization
Product Builder Mindset:
Enjoys creating ambiguous zero-to-one solutions.
Skills
LLMs, Large Language Models, Python, Solution Architecture, Web Development