AI Agents Solutions Architect - Finance
6.0/10
Kraken
Not specified
Remote
mid
5 days ago
aicryptofintechweb3n8nPythonAI AgentsMachine LearningClaude APIAnthropic APIsFinancial ReportingBlockchain
AI Summary
The vacancy is well-defined in responsibilities and requirements but lacks compensation details.
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Description
Key Responsibilities
- •Assessing and mapping Finance operations to identify gaps and bottlenecks across systems like NetSuite, BlackLine, Kyriba, Fireblocks, and Lukka.
- •Benchmarking operations against best practices to build an automation roadmap.
- •Architecting the long-term AI-native finance operating system and defining agentic system interactions with financial infrastructure and data.
- •Building and deploying production-grade agentic workflows for finance operations (reconciliations, close processes, audit prep, treasury monitoring, financial analytics, controls validation) using modern AI tooling like Claude/Anthropic APIs, Python-based orchestration, and workflow engines.
- •Owning AI governance for Finance by establishing guardrails for safe automation in a SOX-regulated environment.
- •Building the foundation for AI-native Finance through reusable frameworks, training, metrics, and leadership reporting.
Requirements
Qualifications
- •Proven track record designing, deploying, and scaling agentic AI systems in production environments used by others.
- •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.
- •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.
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