Principal Agentic Architect - 11386

AI Engineering & Agentic Orchestration

Own the build, configuration, and rapid prototyping of AI agents within Coupa Agent Studio, extending platform capabilities beyond standard out-of-the-box functionality

Specialize in prompt engineering, model tuning, and AI guardrails to ensure accuracy, reliability, and reduction of hallucinations within production AI workflows

Leverage multiple AI platforms, frameworks, and orchestration tools including Claude, OpenAI, MCP, and LangChain to design best-of-breed agentic workflows

Design and deploy extensibility frameworks including Embedded UI Assistant integrations and Model Context Protocol (MCP) capabilities for secure enterprise orchestration

Develop agent-to-agent communication logic and workflow orchestration across complex multi-step business processes

Integration & Technical Leadership

Leverage deep API and integration expertise to support secure, low-latency connectivity between AI agents and enterprise systems including ERP, CLM, and CRM platforms

Partner directly with customer IT and security teams to address technical feasibility, risk assessments, governance, and enterprise security requirements

Understand and manage AI consumption strategies, platform resource utilization, and Coupa credit usage across agentic workflows

The Field-to-Product Bridge

Act as the primary technical liaison between customer engagements and Product Management, identifying roadmap gaps and influencing future platform capabilities

Ensure technical delivery remains aligned to original architectural vision and “as-designed” specifications throughout implementation lifecycle

Support technical pre-sales initiatives by developing reusable Agent Blueprints and rapid deployment PoCs while serving as a technical feasibility expert

Performance Tuning & Quality Assurance

Design authorization boundaries, simulation runs, and human-in-the-loop controls that govern autonomous AI decision-making and escalation paths

Develop evaluation frameworks and automated testing approaches focused on functional correctness and production-grade AI performance

Own ongoing monitoring, testing, health checks, and remediation of AI agents and workflow orchestration environments

Apply continuous improvement methodologies and human-in-the-loop best practices across AI-enabled technical solutions