Lead Software Engineer - SAP – BTP AI Developer
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorganChase within the Corporate Technology Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
Partner with functional teams to identify, prioritize, and shape AI use cases that improve decision making and SAP S/4HANA performance.
Design and deliver AI powered solutions on SAP BTP, using Joule Skills, SAP AI Core, and GenAI services to drive productivity.
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Build and orchestrate Agentic AI capabilities that automate and execute complex actions within enterprise SAP processes.
Lead proof of concept initiatives to validate feasibility, impact, and scalability of AI solutions in a real business context.
Define and document an AI adoption framework covering governance, data strategy, integration, and responsible AI practices.
Design and implement AI-enabled solutions on SAP BTP (SAP Document AI, SAP AI Foundation, Generative AI Hub, SAP BTP Integration).
Build production ready AI use cases including intelligent document processing, RAG, and AI agents.
Define clean core compliant architectures using SAP BTP extensibility patterns.
Ensure enterprise grade security, governance, and data privacy compliance.
Required qualifications, capabilities, and skills
Formal training or certification on software engineering* concepts and 5+ years applied experience
Hands‑on experience in AI/ML solution development, with deployment experience on SAP BTP or similar enterprise platforms.
Strong experience within the SAP ecosystem, including SAP S/4HANA and SAP Business Technology Platform.
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Proven capability with SAP Business AI services, such as SAP AI Core, AI Foundation, GenAI Hub, and AI Launchpad.
Hands‑on experience with generative AI, including Joule Studio, custom Joule Skills, RAG techniques, and context engineering.
Solid engineering foundation, including Python, ML frameworks, MLOps practices, APIs, and secure system integration.
Hands‑on SAP BTP experience including SAP AI Foundation.
Experience with Generative AI and Retrieval‑Augmented Generation (RAG).
Experience with OData, REST APIs, SAP Integration Suite.
Understanding of SAP Clean Core principles.
BTP AI architecture and design
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Preferred qualifications, capabilities, and skills
Experience in integrating SAP solutions with OpenText Extended ECM.