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.