AI Agents Solutions Architect - Finance

Responsibilities

• Assess and map Finance operations
• Evaluate how financial work currently flows across the organization
• Identify capability gaps, manual bottlenecks, and integration failure points
• Benchmark current operations against best-in-class practices and emerging AI capabilities
• Build the Finance automation roadmap, prioritized by operational leverage and regulatory risk
• Work directly with accounting, FP&A, treasury, and finance operations teams
• Translate process pain points into buildable automation requirements
• Architect the agentic finance platform
• Design the long-term architecture for an AI-native finance operating system
• Define how agentic systems interact with financial infrastructure, data pipelines, and control and reporting frameworks
• Identify opportunities to simplify the stack, reduce manual intervention, and define a scalable target architecture
• Build and deploy production finance automation
• Deploy production-grade agentic workflows that automate finance operations
• Maintain human oversight where appropriate
• Design for auditability and control integrity, not just efficiency
• Own AI governance for Finance
• Establish guardrails that allow automation and agent behavior to operate safely in a SOX-regulated financial environment
• Define which controls are maintained, which are redesigned, and how workflow scope preserves control integrity
• Classify all automation builds by risk tier before work begins
• No build goes to production without a named Process Owner, documented data flows, access controls, and audit logging confirmed
• Own the Finance domain representative in Kraken's Automate Everything Center of Excellence
• Contribute to governance standards and cross-functional build alignment
• Create reusable frameworks, workflow templates, and documentation
• Train finance professionals on AI-assisted tools and workflows deployed in production
• Drive adoption and operational independence, not just delivery
• Build metrics, dashboards, and performance frameworks to measure efficiency gains, cost reduction, risk outcomes, and ROI from automation and AI initiatives
• Provide leadership reporting on operational improvements, risk posture, and the finance platform roadmap

Requirements

• Proven track record designing, deploying, and scaling agentic AI systems in production environments used by others
• 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