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SAP AI Engineering Architect

MN, USPosted 1 day ago

Job Description

Remote, Minnesota 55401 Posted October 2nd, 2026

##### Job Type: Full Time

##### Job Category: IT

#### Job Description

Role –

SAP AI Engineering Architect

Location

– Remote

FTE

Job Description

Must Have Technical/Functional Skills * Deep expertise in SAP architecture, SAP Business Technology Platform, and AI-driven solution design.

* Hands-on proficiency with SAP Generative AI Hub, SAP AI Core, SAP AI Business Services, SAP Integration Suite, and SAP Extension Suite.

* Strong understanding of machine learning frameworks such as TensorFlow and PyTorch, and programming experience in Python and Java.

* Experience designing secure, scalable, high-performing AI-powered applications and extensions on SAP BTP.

* Knowledge of SAP HANA Cloud, SAP Data Intelligence, SAP Analytics Cloud, vector engines, knowledge graphs, A2A, and MCP technologies.

* Experience with APIs, microservices, data orchestration, analytics, and machine learning model deployment across SAP and non-SAP landscapes.

* Understanding of SAP S/4HANA integration, SAP Fiori application development, JavaScript, HTML, Fiori Web Components, and API consumption.

* Strong knowledge of data governance, security best practices, Generative AI, prompt engineering, and AI-powered business transformation.

Roles & Responsibilities * Lead the design, development, and implementation of AI-driven solutions within SAP ecosystems.

* Architect and implement AI solutions within SAP systems to enhance business processes, decision-making, automation, and operational efficiency.

* Design and deploy scalable, secure, and high-performing AI-powered applications on SAP BTP.

* Use SAP Generative AI Hub, SAP AI Core, SAP AI Business Services, SAP Integration Suite, and related BTP services to build innovative enterprise solutions.

* Develop and manage APIs and microservices using SAP BTP tools to enable seamless integration across SAP and non-SAP systems.

* Leverage SAP BTP capabilities for data orchestration, analytics, AI/ML model deployment, predictive insights, and real-time decision-making.

* Collaborate with business, functional, data, security, and engineering teams to identify AI integration and automation opportunities across SAP landscapes.

* Ensure solutions comply with data governance, enterprise security standards, architecture principles, and SAP best practices.

* Provide technical leadership, solution guidance, and mentorship to development teams.

* Stay current with emerging AI technologies, SAP BTP advancements, Generative AI patterns, and industry best practices to drive innovation.

Generic Managerial Skills, If any

* Provide technical leadership and mentorship to SAP, AI, and integration development teams.

* Collaborate effectively with cross-functional business, architecture, security, data, and engineering stakeholders.

* Translate business challenges into practical SAP BTP and AI-enabled solution designs.

* Communicate solution approach, technical risks, architecture decisions, and delivery status clearly to technical and management audiences.

* Demonstrate strong problem-solving skills, business process acumen, innovation mindset, and ownership of delivery outcomes.

##### Required Skills

DevOps Engineer

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