Senior FinTech & AI Systems Architect

Selby Jennings • United States

Visa Sponsorship

This Job is No Longer Active This position is no longer accepting applications

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

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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

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Benefits & Perks

Competitive compensation

Bonus

Meaningful equity/profit-sharing upside

Visa sponsorship available

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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:

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