Enterprise Application AI Architect

Tech Stack

Responsibilities

• Translate business needs into AI workflows by identifying automation opportunities and designing agentic workflows for improved decision-making and reduced manual effort.
• Develop and maintain Model Context Protocols (MCPs) that securely and reliably connect enterprise systems like NetSuite, Zuora, and Jira to AI agents.
• Create and manage intelligent agents that execute or augment core enterprise processes such as onboarding, billing support, and compliance monitoring using large language models and orchestration frameworks.
• Govern the full lifecycle of MCPs and agents, ensuring adherence to enterprise data governance, privacy, security standards, SOX compliance, auditability, and appropriate access controls.
• Define and track KPIs for automation adoption, efficiency gains, agent accuracy, reliability, and cost performance to measure and optimize impact.

Benefits

• 401k
• Equity
• Health Insurance
• Remote Work

Culture

Requirements