Staff AI Engineer Business Systems

You will design and build agentic solutions, orchestration services, enterprise applications, and reusable platform components. You will integrate approved business systems securely, evaluate AI platforms, establish production controls, and implement Finance, SOX, security, privacy, and audit requirements.

Responsibilities

• Design end-to-end agentic solutions
• Translate stakeholder requirements into controlled AI workflows
• Create reusable architecture patterns for agents, tools, APIs, MCP servers, prompts, evaluations, and human-review workflows
• Build AI agents, orchestration services, enterprise applications, and platform components
• Establish secure AI connections to approved business systems
• Preserve authentication, authorization, entitlements, rate limits, and audit trails
• Refactor approved prototypes into monitored enterprise applications
• Establish release pipelines, incident response, and rollback controls
• Evaluate AI models, agent frameworks, connectors, and enterprise platforms
• Implement compliance, SOX, and audit controls

Requirements

• 8+ years in software, platform, integration, solution engineering, or enterprise applications
• Python and/or TypeScript
• Experience with APIs, MCP or comparable tool protocols, enterprise authentication, and distributed-system design
• Experience building production AI systems using agents, tool use, retrieval, structured outputs, evaluations, and monitoring
• Familiarity with LLM platforms and agent frameworks
• Solution-architecture judgment across security, reliability, performance, cost, observability, and supportability
• Knowledge of enterprise Finance processes
• Knowledge of compliance-by-design and audit evidence