AI Agents Solutions Architect - Finance

Job Title: AI Agents Solutions Architect - Finance

Reports To: Co-Founder & CEO 

Location: Remote, India 

Shift Timing: US - PST Aligned 

Employment Type: Full Time Contract Role 

Compensation Budget: upto ₹19.00 Lakhs Per Annum

The Opportunity: 

You will serve as the primary architect and builder of the AI-native finance operating system. This role spans two simultaneous horizons: deploying production automation now and redesigning the finance architecture for the long term. Responsibilities span five core areas: 

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 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 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: 

• 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. 

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: 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.