# AI Agents Solutions Architect - Finance

**Company:** [Kraken](https://hotfix.jobs/companies/kraken)
**Location:** Remote
**Role:** Solutions Architecture
**Salary:** $127k – $254k/yr
**Skills:** Agentic AI, Llm Orchestration, Multi-Agent Systems, Python, Claude, Anthropic Apis, n8n, Mcp, NetSuite, Blackline, Kyriba, Fireblocks, Lukka
**Posted:** 2026-03-25

> Architects and builds AI-native finance operating systems for a crypto exchange, automating reconciliations, close processes, treasury monitoring, and controls in a SOX-regulated environment using agentic AI workflows and modern tools like Claude APIs and Python orchestration.

## Job Description

## Responsibilities

### Assess and map Finance operations
- Evaluate how financial work currently flows across the organization, including close, reconciliations, treasury, reporting, controls validation, and audit preparation.
- Identify capability gaps, manual bottlenecks, and integration failure points across systems including **NetSuite**, **BlackLine**, **Kyriba**, **Fireblocks**, and **Lukka**.
- Benchmark current operations against best-in-class practices and emerging AI capabilities to build the Finance automation roadmap, prioritized by operational leverage and regulatory risk.
- Work directly with accounting, FP&A, treasury, and finance operations teams to 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.
- Evaluate Kraken's existing finance systems stack from first principles, including platforms and the interfaces and data flows between them.
- Identify opportunities to simplify the stack, reduce manual intervention, and define a scalable target architecture.
- Build an agentic finance layer that runs alongside the existing stack today, automating workflows while defining the migration path toward a more scalable, AI-native architecture over time.

### Build and deploy production finance automation
- Deploy production-grade agentic workflows that automate finance operations: reconciliations, close processes, audit and reporting preparation, treasury monitoring, financial analytics, and controls validation.
- Build using modern AI tooling including **Claude** and **Anthropic APIs**, **Python**-based orchestration, **n8n** or equivalent workflow engines, and **MCP** or similar agent coordination layers.
- Integrate internal and external systems by connecting APIs, data sources, and tools into unified automated workflows that deliver real operational leverage.
- 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.
- Build frameworks covering data classification, auditability, human-in-the-loop checkpoints, failure detection, rollback mechanisms, regulatory compliance, and audit-ready design documentation.
- 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.
- Serve as the Finance domain representative in Kraken's Automate Everything Center of Excellence, contributing to governance standards and cross-functional build alignment.

### Build the foundation for AI-native Finance
- Create reusable frameworks, workflow templates, and documentation so that future Finance team members can safely build on top of the platform without relying on a single specialist.
- 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.

## Skills You Should HODL
- 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.

## Nice to Have
- Experience with Finance systems stack or equivalent enterprise platforms: **NetSuite**, **BlackLine**, **Kyriba**, **Fireblocks**, or **Lukka**.
- Background as a Head of Product or Head of Engineering at an AI-native company, AI systems architect, or founder or early engineer at an agentic infrastructure company.
- Familiarity with crypto-native financial infrastructure including digital asset custody, on-chain reconciliation, and blockchain-based accounting workflows.
- Experience in high-velocity or resource-constrained environments.

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