Principal Agentic Architect

Coupa, a global spend management platform, seeks an AI Engineer to build and optimize AI agents that enhance business decision‑making. This role involves deep technical integration with enterprise systems, guiding customer implementations, and ensuring the highest quality of AI delivery.

• Own the build, configuration, and rapid prototyping of AI agents within Coupa Agent Studio.
• 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 Lang Chain to design best‑of‑breed agentic workflows.
• Design and deploy extensibility frameworks such as 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.

• 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.

• 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 the implementation lifecycle.
• Support technical pre‑sales initiatives by developing reusable Agent Blueprints and rapid deployment PoCs while serving as a technical feasibility expert.

• 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.

• Proven experience in technical integration roles including Middleware, API Engineering, or Systems Architecture with strong knowledge of REST, GraphQL, and JSON.
• Strong programming proficiency in Python and/or JavaScript (Node.js).
• Experience building integrations and orchestration layers between non‑deterministic AI systems and deterministic enterprise platforms.
• Understanding of Source‑to‑Pay (S2P) business requirements with the ability to map agentic workflows across procurement, invoicing, and payables processes.
• Hands‑on experience with agentic frameworks and open‑standard orchestration architectures including MCP, Lang Chain, Auto Gen, or similar technologies.

• Strong builder mindset with the ability to rapidly move from concept to functional, deployable AI components.
• Advanced troubleshooting and debugging skills across complex AI systems, APIs, prompts, integrations, latency, and data quality issues.
• Ability to establish technical credibility and trust with executive stakeholders while acting as a strategic advisor on AI transformation initiatives.
• Experience supporting enterprise digital transformation and strategic consulting engagements within large‑scale environments.
• Strong technical agility with the ability to quickly redesign and optimize agent logic within fast‑paced implementation environments.
• Ability to clearly explain technical behaviors, limitations, and AI outcomes to non‑technical stakeholders while building customer confidence.
• Deep understanding of Coupa APIs, Compose, configurations, and platform architecture with the ability to diagnose whether issues stem from AI logic, product limitations, data quality, or configuration setup.
• Proactive approach to customer education and expectation‑setting throughout implementation and deployment processes.

Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees.