Principal Agentic Architect - 11386

Coupa · Chicago, IL · Yesterday

RemoteRemoteConsultingFull-time

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

Must-Have Technical Expertise
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, LangChain, AutoGen, or similar technologies

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
Proactive approach to customer education and expectation-setting throughout implementation and deployment processes

Strong builder mindset with the ability to rapidly move from concept to functional, deployable AI components
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

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

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