AI Agents Solutions Architect Finance
Summary
Architect and deploy AI-native finance automation systems, integrating agentic workflows with financial operations, governance, and audit controls.
You will architect and build an AI-native finance operating system. You will map finance operations, deploy production agentic workflows, integrate financial systems, establish AI governance and audit controls, create reusable frameworks, train finance professionals, and measure automation performance and risk outcomes.
Responsibilities
- Evaluate finance workflows and identify bottlenecks
- Map finance systems and integration failure points
- Build the finance automation roadmap
- Translate finance pain points into automation requirements
- Design the AI-native finance operating system architecture
- Build an agentic finance layer
- Deploy production finance automation workflows
- Integrate APIs, data sources, and internal systems
- Maintain human oversight and control integrity
- Establish AI governance guardrails
- Define data classification and auditability frameworks
- Classify automation builds by risk tier
- Create reusable workflow frameworks and templates
- Train finance professionals on AI-assisted tools
- Build automation performance metrics and dashboards
- Report on operational improvements and risk posture
Requirements
- Production deployment of agentic AI systems
- LLM orchestration
- Multi-agent system design
- Systems architecture
- Claude and Anthropic APIs
- Python-based orchestration
- n8n or equivalent workflow engines
- MCP or similar agent coordination layers
- Finance operations
- Close processes
- Reconciliations
- Treasury
- Financial reporting
- Controls
- SOX-regulated environment
- AI governance
- Auditability
- Human-in-the-loop checkpoints
- Failure detection
- Rollback mechanisms
- Regulatory compliance
- Technical roadmaps
- Stakeholder communication
Benefits
- Bonus program
- Equity program
- Wellness allowance
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)