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

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

applications are accepted on an ongoing basis
applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job
We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws

Kraken is hiring an AI Agents Solutions Architect - Finance