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Salary
≈ $141k – $294k per year (Estimated)
Location
In office (Chicago)
Seniority
Staff · 5+ years exp
Visa
H-1B filings in 12 months: 3,429 · for this role: 1,686 · green card filings: 933

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Jul 23, 2026. JPMorganChase scores A on the Alion truth index.

Overview
Company
Impact
Profile match
JPMorganChase is the largest bank in the United States by assets and one of the most systemically important financial institutions in the world, with a lineage running back through more than a thousand predecessor firms to the 1799 founding of the Bank of the Manhattan Company. It combines a dominant investment bank and markets business with Chase, the largest retail banking franchise in America, plus commercial banking and asset and wealth management. Headquartered in New York, the group is unusual among banks for the scale of its technology spending, running one of the largest engineering organisations of any financial institution and deploying its own internal AI platform across the firm.

We have an opportunity to impact your career and help deliver AI-enabled SAP Finance solutions on SAP BTP.

As a Lead Software Engineer at JPMorganChase within the Corporate Technology Team, you will help design, build, and deliver secure, scalable SAP BTP AI solutions that support Finance business objectives. This role requires hands-on SAP FI / S/4HANA Finance experience and the ability to apply SAP BTP AI capabilities to Finance processes, controls, reconciliations, reporting, and financial close.

Job responsibilities

  • Partner with SAP Finance teams to identify and deliver AI use cases across SAP FI, SAP S/4HANA Finance, and SAP BTP.
  • Design SAP BTP AI solutions for Finance processes, including General Ledger, Accounts Payable, Accounts Receivable, Asset Accounting, reconciliations, financial close, controls, and reporting.
  • Develop AI/GenAI capabilities using SAP Business AI, RAG, Joule Skills, and AI agents to support automation, exception handling, document interpretation, and decision support.
  • Translate SAP FI requirements, data structures, integrations, and control needs into clean core-compliant SAP BTP extensibility and integration designs.
  • Validate feasibility, scalability, security, auditability, and business value of SAP Finance AI solutions through proof-of-concepts and production-ready delivery.

Required qualifications, capabilities, and skills

  • Formal training or certification in software engineering concepts and 5+ years of applied software engineering experience.
  • Hands-on SAP FI / S/4HANA Finance experience is required, including General Ledger, Accounts Payable, Accounts Receivable, Asset Accounting, reconciliations, controls, financial close, or finance reporting.
  • Strong SAP BTP and SAP S/4HANA experience, including clean core extensibility, APIs, OData, REST services, SAP Integration Suite, and secure integration patterns.
  • Experience with ML frameworks, MLOps, and Databricks for AI/GenAI development, deployment, monitoring, and integration with SAP Finance data and SAP BTP services.
  • Ability to translate SAP FI requirements and controls into secure, auditable SAP BTP AI solution designs and implementations.

Preferred qualifications, capabilities, and skills

  • Experience delivering AI, automation, reconciliation, reporting, or exception-management solutions for SAP Finance.
  • Preferred experience designing, deploying, or operationalizing AI/GenAI solutions using SAP Business AI capabilities, including SAP AI Core, SAP AI Foundation, Generative AI Hub, AI Launchpad, Joule Skills, RAG, or AI agents.
  • Exposure to SAP Finance data models, BAPIs, CDS views, OData services, or Fiori extensibility.
  • Experience integrating SAP Finance data with Databricks or enterprise data platform
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