AI Agents Solutions Architect (Finance)

AI Agents Solutions Architect Finance

Company

Payward, Inc.

Conditions

5 days agoUnited Kingdom; Argentina; Brazil; Canada; Cyprus; Czech Republic; Ireland; Lithuania; Mexico; Poland; Portugal; Romania; South Africa; Spain; Switzerland; United Arab Emirates Remote Full Time Ai Jobs by Payward, Inc.

Payward, Inc. Payward, Inc. is a global financial infrastructure company and the parent organization behind Kraken. It provides trading, custody, payments, lending, staking, tokenized assets, derivatives, and market data infrastructure to consumers, professional traders, institutions, enterprises, fintechs, banks, exchanges, asset managers, and onchain platforms. Distributed Funding Unknown ($200M) Investors Deutsche Börse Group Projects Payward Infrastructure Payward Services Service Provider About Payward, Inc. Payward, Inc. operates a unified financial infrastructure platform powering a portfolio of products including Kraken, NinjaTrader, Breakout, xStocks, CF Benchmarks, and Payward Services. Its shared architecture provides global liquidity, risk and margin management, collateral and settlement, compliance and licensing, and operational infrastructure across crypto, tokenized assets, and traditional markets. Through Payward Services, the company offers APIs and infrastructure for crypto trading, custody, on/off-ramps, tokenized equities, derivatives, staking and yield, payments, and benchmark data. Payward operates across more than 190 jurisdictions and serves consumers, professional traders, institutional investors, enterprises, fintechs, banks, exchanges, asset managers, and DeFi/onchain protocols. View jobs by Payward, Inc.

Skills

Agent Ai Api Architecture Audit Automation Blackline Compliance Fireblocks Kyriba Llm Lukka Mcp N8n Netsuite Orchestration Python Reconciliation Reporting Sox Treasury

About the Role

You will assess finance operations, identify automation opportunities, and translate finance requirements into technical roadmaps. You will design and build an AI-native finance platform, deploy production agentic workflows, integrate finance systems and data sources, and maintain appropriate human oversight. You will establish AI governance, auditability, risk controls, and documentation; create reusable frameworks; train finance professionals; and report on automation performance, risk posture, and platform progress.

Requirements

• Proven experience designing, deploying, and scaling production agentic AI systems
• Deep understanding of LLM orchestration, multi-agent system design, and autonomous AI workflow failure modes
• Strong systems architecture capability from discovery through optimization
• Hands-on proficiency with Claude or Anthropic APIs, Python-based orchestration, n8n or equivalent workflow engines, and MCP or similar agent coordination layers
• Strong 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
• Ability to translate finance and business requirements into technical roadmaps and scalable solutions
• Ability to bridge finance, technical, and business teams and influence senior stakeholders

Responsibilities

• Evaluate finance workflows, including close, reconciliations, treasury, reporting, controls validation, and audit preparation
• Identify manual bottlenecks, capability gaps, and system integration failure points
• Build and prioritize a finance automation roadmap
• Translate finance process pain points into automation requirements
• Design the long-term architecture for an AI-native finance operating system
• Evaluate finance systems, interfaces, and data flows to define a scalable target architecture
• Build an agentic finance layer alongside the existing finance stack
• Deploy production-grade agentic workflows for finance operations
• Integrate APIs, data sources, and tools into automated workflows
• Design automation with appropriate human oversight, auditability, and control integrity
• Establish AI governance guardrails for a SOX-regulated financial environment
• Build frameworks for data classification, auditability, human checkpoints, failure detection, rollback, compliance, and design documentation
• Classify automation builds by risk tier and confirm process ownership, data flows, access controls, and audit logging
• Represent the Finance domain in the Automate Everything Center of Excellence
• Create reusable frameworks, workflow templates, and documentation
• Train finance professionals on deployed AI-assisted tools and workflows
• Build metrics and dashboards to measure automation efficiency, cost, risk, and ROI
• Provide leadership reporting on operational improvements, risk posture, and the finance platform roadmap

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