AI Agents Solutions Architect - Finance

Overview

A leading global crypto exchange is seeking a technical architect and builder to develop an AI-native finance operating system. This role involves deploying production automation and redesigning finance architecture to scale operations across accounting, FP&A, treasury, tax, and finance operations in a regulated environment.

Responsibilities

• Assess and map current finance operations including close, reconciliations, treasury, reporting, controls validation, and audit preparation.
• Identify capability gaps, manual bottlenecks, and integration failure points across systems such as NetSuite, BlackLine, Kyriba, Fireblocks, and Lukka.
• Benchmark operations against best practices and emerging AI capabilities to build a prioritized finance automation roadmap.
• Collaborate with accounting, FP&A, treasury, and finance operations teams to translate process pain points into automation requirements.
• Architect a long-term AI-native finance operating system, defining interactions between agentic systems, financial infrastructure, data pipelines, and control frameworks.
• Evaluate and simplify the existing finance systems stack, reducing manual intervention and defining a scalable target architecture.
• Build an agentic finance layer alongside the existing stack to automate workflows and plan migration toward AI-native architecture.
• Deploy production-grade agentic workflows automating reconciliations, close processes, audit and reporting preparation, treasury monitoring, financial analytics, and controls validation.
• Utilize modern AI tooling including Claude and Anthropic APIs, Python orchestration, n8n or equivalent workflow engines, and MCP or similar agent coordination layers.
• Integrate internal and external systems via APIs and data sources into unified automated workflows.
• Maintain human oversight where appropriate, ensuring auditability and control integrity.
• Establish AI governance guardrails for automation in a SOX-regulated financial environment, defining control maintenance and redesign.
• Develop frameworks for data classification, auditability, human-in-the-loop checkpoints, failure detection, rollback mechanisms, regulatory compliance, and audit-ready documentation.
• Classify automation builds by risk tier and ensure all production builds have a named Process Owner, documented data flows, access controls, and audit logging.
• Represent finance domain in cross-functional automation governance and standards.
• Create reusable frameworks, workflow templates, and documentation to enable future finance team members to build safely on the platform.
• Train finance professionals on AI-assisted tools and workflows to drive adoption and operational independence.
• Develop metrics, dashboards, and performance frameworks to measure efficiency gains, cost reduction, risk outcomes, and ROI.
• Provide leadership reporting on operational improvements, risk posture, and the finance platform roadmap.

Requirements

• Proven experience designing, deploying, and scaling agentic AI systems in production environments.
• Deep understanding of LLM orchestration, multi-agent system design, and failure modes of autonomous AI workflows in high-stakes environments.
• Strong systems architecture skills from discovery through deployment and optimization.
• Hands-on proficiency with AI automation tools such as Claude/Anthropic APIs, Python orchestration, n8n or equivalent workflow engines, MCP or similar coordination layers.
• Strong domain knowledge of finance operations including close processes, reconciliations, treasury, financial reporting, and controls in regulated environments.
• Experience deploying automation in SOX-regulated or equivalent compliance environments, with understanding of control preservation and audit integrity.
• Ability to translate finance and business requirements into technical roadmaps and scalable solutions.
• Excellent communication skills to bridge finance, technical, and business teams and influence senior stakeholders.
• Comfortable working in fast-paced, ambiguous environments with high ownership and execution bias.

Preferred Qualifications

• Experience with finance systems such as NetSuite, BlackLine, Kyriba, Fireblocks, or Lukka.
• Background as Head of Product, Head of Engineering at AI-native companies, AI systems architect, or early engineer/founder at agentic infrastructure companies.
• Familiarity with crypto-native financial infrastructure including digital asset custody, on-chain reconciliation, and blockchain-based accounting.
• Experience in high-velocity or resource-constrained environments such as startups or PE-backed companies.
• Knowledge of data privacy, information governance, or compliance systems in financial services.
• Experience managing vendor relationships and procurement for finance technology platforms.

Compensation & Benefits

• Salary range: $127,200 - $254,400 annually.

Location

• Fully remote, with team members across 70+ countries.

Additional Information

• Applications are accepted on an ongoing basis unless otherwise stated.
• Candidates may redact personal identifying information on resumes.
• The employer considers qualified applicants with criminal histories in accordance with applicable fair chance laws.
• Equal opportunity employer committed to diversity and inclusion.
• Candidates may be asked to complete job-related skills or work-style assessments as part of the hiring process.