Principal Engineering Management Job

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Manager, ERP Engineering (BTPAI) based in the United States. We are seeking an experienced ERP Engineering Manager to lead the development and deployment of AI-powered enterprise resource planning solutions across SAP S/4HANA and connected business platforms. You will leverage SAP Business AI, Joule, AI agents, and advanced integration technologies to modernize critical enterprise processes and enable increasingly autonomous operations. Working across global engineering, functional, and support teams, you will drive deployment readiness, release management, production reliability, and continuous improvement. Your expertise will help embed responsible AI practices, robust governance, and proactive monitoring into business-critical workflows. This is an opportunity to shape the future of enterprise AI engineering while delivering measurable operational improvements across finance, sales, procurement, and digital commerce.

\Lead the design, development, deployment, and support of AI-enabled SAP automation solutions and agentic workflows across SAP S/4HANA and connected enterprise platforms.

Architect scalable AI engineering solutions using SAP Business AI, Joule, SAP AI Core, SAP Business Technology Platform (BTP), Retrieval-Augmented Generation (RAG), AI agents, Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, and intelligent automation frameworks.

Partner with SAP functional teams, engineers, and support specialists to deploy AI-driven solutions across key business processes, including Procure-to-Pay (PTP), Order-to-Cash (OTC), Direct-to-Consumer (DTC), and Financial Accounting and Controlling (FICO).

Establish monitoring, observability, auditability, and performance measurement frameworks to track AI agent behavior, identify anomalies, manage exceptions, and improve operational outcomes.

Troubleshoot and optimize AI agents, enterprise integrations, workflows, interfaces, and SAP platforms using diagnostic tools, trace analysis, and performance monitoring.

Ensure compliance with enterprise security, data privacy, Sarbanes-Oxley (SOX), responsible AI, and applicable governance requirements.

Lead and mentor global engineering teams, establish delivery standards, coordinate cross-functional stakeholders, and promote engineering excellence.

12–15+ years of experience in SAP technology, enterprise systems engineering, SAP S/4HANA, deployment engineering, and enterprise automation.

• Deep technical expertise in SAP Business AI, Joule, SAP AI Core, SAP BTP, SAP Integration Suite, RAG architectures, AI agents, and intelligent automation technologies.
• Proven experience designing, implementing, deploying, and supporting AI-enabled SAP solutions and agent-driven business processes in complex enterprise environments.
• Strong understanding of SAP business processes, particularly FICO, Order-to-Cash, Procure-to-Pay, sales, billing, and financial postings.
• Demonstrated experience with AI agent engineering, enterprise integrations, workflow orchestration, automation frameworks, and connected SAP platforms.
• Experience leading production support, incident management, release governance, deployment readiness, observability, and continuous service improvement initiatives.
• Strong troubleshooting and analytical capabilities across AI agents, APIs, integrations, interfaces, enterprise workflows, and SAP infrastructure.
• Proven leadership experience managing global engineering teams, coordinating cross-functional delivery, and aligning technical execution with business priorities.
• Strong organizational and delivery management skills, including the ability to balance competing priorities, manage production risks, and deliver reliable solutions at scale.
• Bachelor's or master's degree in Computer Science, Information Technology, Engineering, or a related field.
• Remote work: A fully remote position based in the United States.

Full-time employment: A full-time opportunity to lead enterprise AI and ERP engineering initiatives.

The opportunity to influence the evolution of AI-powered ERP operations and intelligent enterprise automation.

Hands-on involvement with SAP S/4HANA, SAP Business AI, Joule, AI agents, and modern enterprise integration platforms.

The opportunity to lead and collaborate with international engineering teams and cross-functional business stakeholders.

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