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Sap Ai Jobs (NOW HIRING)

SAP iXp Intern - Full-Stack AI Developer

Palo Alto, CA · On-site

$22 - $29/hr

SAP iXp Intern - Full-Stack AI Developer Location: Palo Alto (Hybrid) Expected start date: October 2026 Duration: 6 - 12 months Schedule: 20 - 40/HR per week * Assist in designing, developing, and ...

SAP iXp Intern - Full-Stack AI Developer

Palo Alto, CA · On-site +1

$22.75 - $29.75/hr

SAP iXp Intern - Full-Stack AI Developer Location: Palo Alto (Hybrid) Expected start date: October 2026 Duration: 6 - 12 months Schedule: 20 - 40/HR per week * Assist in designing, developing, and ...

As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience ... You will be the field-facing SAP SME who architects, builds and deploys technical bridges and ...

$22.75 - $29.75/hr

SAP iXp Intern - Full-Stack AI Developer *Location: Palo Alto (Hybrid) Expected start date: October 2026 *Duration: 6 - 12 months Schedule: 20 - 40/HR per week * Assist in designing, developing, and ...

As a SAP Generative AI professional focused on GenAI Platforms and SAP Business AI, you will: * Provide AI strategy advisory services to help clients leverage GenAI in SAP landscapes, including the ...

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Sap Ai information

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How much do sap ai jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for sap ai in the United States is $69.36, according to ZipRecruiter salary data. Most workers in this role earn between $55.53 and $80.29 per hour, depending on experience, location, and employer.

What is a SAP AI specialist?

A SAP AI specialist is a professional who integrates artificial intelligence (AI) technologies into SAP systems to automate processes, enhance data analysis, and improve business decision-making. They work with SAP’s AI tools and platforms, such as SAP Leonardo, to develop and implement intelligent solutions tailored to an organization's needs. Their responsibilities may include designing machine learning models, optimizing business workflows, and ensuring seamless integration of AI within SAP environments.

What are the key skills and qualifications needed to thrive as an SAP AI specialist?

To thrive as an SAP AI Specialist, you need strong expertise in SAP platforms, artificial intelligence concepts, data analytics, and a background in computer science or related fields. Familiarity with SAP Leonardo, SAP Business Technology Platform, machine learning frameworks, and relevant certifications such as SAP Certified Application Associate are highly valuable. Analytical thinking, problem-solving, and effective communication help bridge technical solutions with business needs. These skills ensure that AI-driven SAP solutions are implemented successfully, driving business innovation and efficiency.

How does a SAP AI specialist typically collaborate with cross-functional teams within an organization?

A SAP AI specialist often works closely with business analysts, data engineers, and functional SAP consultants to integrate AI solutions into existing SAP environments. Collaboration involves gathering requirements from business stakeholders, designing AI models tailored to specific business processes, and ensuring seamless integration with SAP modules. Regular meetings and agile project management practices are common, enabling effective communication and iterative development. This collaborative structure helps drive innovation and ensures that AI-driven enhancements align with organizational goals.

What is the difference between Sap Ai vs Sap Data Analyst?

AspectSap AiSap Data Analyst
Required CredentialsTypically requires AI/machine learning certifications, programming skills, and SAP knowledgeRequires data analysis certifications, SAP certifications, and proficiency in data tools
Work EnvironmentFocuses on AI model development, machine learning, and automation within SAP systemsAnalyzes data, generates reports, and supports decision-making in SAP environments
Employer & Industry UsageUsed in industries adopting AI solutions within SAP platformsCommon in organizations utilizing SAP for business analytics and reporting

While both roles work within SAP environments, Sap Ai focuses on developing AI and machine learning models, whereas Sap Data Analysts primarily analyze data and generate insights. Understanding these differences helps in choosing the right career path or job search focus within SAP-related fields.

What cities are hiring for Sap Ai jobs?

Cities with the most Sap Ai job openings:

What other helpful pages are available for Sap Ai?

Other pages related to Sap Ai:

Infographic showing various Sap Ai job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $144,265 per year, or $69.4 per hour.

Lead Software Engineer - SAP - BTP AI Developer

Columbus, OH • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees

$62.25 - $81.25/hr

Other

Re-posted 13 days ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

78th of 176 rated banks


Job description

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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