AI Agents Solutions Architect - Finance

Qualifications

• This role is designed for a technical builder and systems architect who has already deployed agentic systems in production.
• Proven track record designing, deploying, and scaling agentic AI systems in production environments used by others, not just experimentation or internal demos.
• Deep understanding of LLM orchestration, multi-agent system design, and the failure modes of autonomous AI workflows in high-stakes operational environments.
• Strong systems architecture capability: able to move from discovery to design to build to deployment to optimization without relying on external consultants.
• Hands-on proficiency with modern AI automation tooling: Claude/Anthropic APIs, Python-based orchestration, n8n or equivalent workflow engines, MCP or similar agent coordination layers.
• Strong domain knowledge of finance operations including close processes, reconciliations, treasury, financial reporting, and controls in a regulated environment.
• Experience deploying automation in a SOX-regulated or equivalent compliance environment, with demonstrated understanding of which controls must be preserved and how to design automation that maintains audit integrity.
• Ability to translate finance and business requirements into technical roadmaps and scalable operational solutions.
• Strong communicator who can bridge finance, technical, and business teams while influencing senior stakeholders and driving cross-functional alignment.
• Comfortable operating in fast-paced, ambiguous environments with a high level of ownership and bias toward execution.