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Senior FinTech & AI Systems Architect

Selby Jennings • United State
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AI Summary

Lead the design and implementation of production-grade AI systems that connect AI agents with trading platforms, CRM data, risk systems, and broker-dealer workflows. Architect agentic AI and multi-agent workflows, integrate LLMs with external tools, and build RAG pipelines across financial data sources. Requires strong Python engineering experience, hands-on production AI systems expertise, and deep systems integration skills.

Key Highlights
Greenfield opportunity with significant ownership
Lead design and implementation of agentic AI systems
Hands-on production AI systems experience required
Key Responsibilities
Designing and deploying agentic AI and multi-agent workflows
Integrating LLMs with external tools, APIs, and production systems
Building RAG pipelines and data architectures across CRM, KYC, risk, and client data sources
Leveraging MCP and tool-calling frameworks to connect AI agents with trading infrastructure
Defining the platform architecture and technical roadmap alongside leadership
Driving client-facing implementations and complex system integrations
Technical Skills Required
Python Agent orchestration frameworks Systems design and integration
Benefits & Perks
Competitive compensation
Bonus
Meaningful equity/profit-sharing upside
Visa sponsorship available
Nice to Have
Exposure to fintech, trading, brokerage, market infrastructure, or other complex transactional systems

Job Description



Lead FinTech & AI Systems Architect

Palo-Alto, CA - On-Site/Hybrid

Full-Time


We are an early-stage AI and FinTech company building next-generation infrastructure that connects AI agents with trading platforms, CRM data, risk systems, and broker-dealer workflows. The team is small, well-funded, and looking for a senior technical leader to help design and build the core platform from the ground up.

This is not a research role and it's not a traditional software engineering position. You'll be responsible for architecting production-grade AI systems that interact with real-world financial infrastructure while remaining hands-on with implementation.


What you'll be working on:

  • Designing and deploying agentic AI and multi-agent workflows
  • Integrating LLMs with external tools, APIs, and production systems
  • Building RAG pipelines and data architectures across CRM, KYC, risk, and client data sources
  • Leveraging MCP and tool-calling frameworks to connect AI agents with trading infrastructure
  • Defining the platform architecture and technical roadmap alongside leadership
  • Driving client-facing implementations and complex system integrations


We're interested in candidates with:

  • Strong Python engineering and architecture experience
  • Experience with agent orchestration frameworks such as LangGraph, AutoGen, CrewAI, or similar
  • Hands-on experience building production AI systems rather than experimentation-only projects
  • Deep systems design and integration experience
  • The ability to operate in a startup environment and own projects end-to-end
  • Exposure to fintech, trading, brokerage, market infrastructure, or other complex transactional systems is a plus, but not required


Why it's interesting:

  • Greenfield opportunity with significant ownership
  • Direct impact on product and architecture decisions
  • Small, highly technical team
  • Competitive compensation, bonus, and meaningful equity/profit-sharing upside
  • Visa sponsorship available
  • Palo Alto-based, in-office


If you've built agentic AI systems and enjoy solving complex infrastructure problems at scale, apply now!


*No contractors*


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