Senior Software Engineer - AI Enablement Finance

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

Responsibilities

Assess and map finance operations: evaluate how financial work currently flows, identify capability gaps, benchmark operations against best practices, and translate process pain points into automation requirements; Architect the agentic finance platform: design the long-term architecture for an AI-native finance operating system, evaluate the existing finance systems stack, and build an agentic finance layer; Build and deploy production finance automation: deploy production-grade agentic workflows, build using modern AI tooling, integrate systems via APIs, and maintain human oversight for auditability and control integrity; Own AI governance for finance: establish guardrails for SOX-regulated environments, build governance frameworks, classify automation builds by risk tier, and serve as Finance domain representative; Build the foundation for AI-native finance: create reusable frameworks, train finance professionals, build metrics and dashboards, and provide leadership reporting on operational improvements

Requirements

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