Lead FinTech & AI Systems Architect
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!
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