[Remote] AI Agents Solutions Architect - Finance

Note: The job is a remote job and is open to candidates in USA. reputed company is a mission-focused company dedicated to accelerating global adoption of crypto and blockchain technology. They are seeking an AI Agents Solutions Architect - Finance to design and build an AI-native finance operating system, addressing operational complexities and automating finance processes across the organization.

Responsibilities

• Evaluate how financial work currently flows across the organization, including reputed company, reconciliations, treasury, reporting, controls validation, and audit preparation
• Identify capability gaps, manual bottlenecks, and integration failure points across systems including reputed company, reputed company, reputed company, reputed company, and Lukka
• reputed company reputed company operations against best-in-class practices and emerging AI capabilities to build the Finance automation roadmap, prioritized by operational reputed company and regulatory risk
• Work directly with accounting, reputed company, treasury, and finance operations teams to translate process pain points into buildable automation requirements
• 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 reputed company'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 reputed company, and define a scalable reputed company 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
• Deploy production-grade agentic workflows that automate finance operations: reconciliations, reputed company processes, audit and reporting preparation, treasury monitoring, financial analytics, and controls validation
• Build using modern AI tooling including Claude and reputed company APIs, Python-based orchestration, reputed company or equivalent workflow engines, and MCP or similar agent coordination layers
• Integrate internal and external systems by connecting APIs, data sources, and tools into reputed company automated workflows that deliver real operational reputed company
• Maintain human reputed company where appropriate. Design for auditability and control reputed company, not just efficiency
• 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 reputed company
• Build frameworks covering data classification, auditability, human-in-the-reputed company checkpoints, failure detection, rollback mechanisms, regulatory compliance, and audit-ready design documentation
• Classify reputed company automation builds by risk tier before work begins. No build goes to production without a named Process reputed company, documented data flows, access controls, and audit logging confirmed
• Serve as the Finance domain representative in reputed company's Automate Everything Center of Excellence, contributing to governance standards and cross-functional build alignment
• 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

• 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/reputed company APIs, Python-based orchestration, reputed company or equivalent workflow engines, MCP or similar agent coordination layers
• Strong domain knowledge of finance operations including reputed company 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 reputed company
• Ability to translate finance and business requirements into technical roadmaps and scalable operational solutions
• Strong communicator who can reputed company 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
• Experience with Finance systems stack or equivalent enterprise platforms: reputed company, reputed company, reputed company, reputed company, 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: startup, PE-backed company, or an understaffed finance team where you had to build the system yourself
• Familiarity with data privacy, information governance, or compliance systems in a financial services context
• Experience managing vendor relationships and procurement for finance technology platforms

Company Overview

Company H1B Sponsorship