FinQuery stands at the forefront of accounting automation, driven by a deep specialty in contract-driven accounting. Our AI-enabled platform transforms how controllers and finance teams operate, seamlessly managing and accounting for the complex financial contracts—like leases, prepaids, and accruals—that are the backbone of modern business. We are not just a software provider; we are the unified subledger that eliminates time-intensive, error-prone technical accounting workflows, ensuring financial reports are accurate and empowering our customers to focus on strategic, high-value tasks.
FinQuery is the global leader in lease accounting (as recognized on
G2.com) and serve more than 8,500 customers worldwide. Our growth trajectory has been consistently validated by the Inc 5000, which has recognized us as one of the fastest-growing private companies for five consecutive years.
The Sr. AI Systems Engineer is a technically sophisticated individual contributor responsible for designing, developing, and deploying agentic AI tools and autonomous workflows that eliminate manual bottlenecks and unlock operational leverage across the organization. This role sits at the intersection of software engineering and AI/LLM architecture—translating complex business processes into intelligent, self-executing systems. The AI Systems Engineer brings deep engineering instincts to a fast-evolving toolset, building solutions that are not only functional but observable, maintainable, and aligned to strategic priorities.
Design and develop agentic AI workflows using LLM orchestration frameworks while implementing planning, reflection, and tool-use patterns
Architect and build system integrations connecting AI agents to internal APIs, databases, and third-party SaaS platforms
Develop and maintain Human-in-the-Loop (HITL) checkpoints and escalation logic to surface agentic decisions for human validation
Implement observability and feedback loops within deployed agents to capture performance signals, exception rates, and decision traces
Analyze existing technical workflows to identify automation opportunities and produce engineering-ready specifications
Contribute to documentation standards for agentic systems including technical specs, architecture diagrams, and runbooks
Partner with internal stakeholders to translate operational pain points into technical requirements
Conduct all business in accordance with company policies and procedures
Perform all other duties as assigned