SAP AI Engineering Architect

About the role

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.

Responsibilities

• 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.

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.

Qualifications

• Bachelor of Computer Science

Benefits

• Discretionary Annual Incentive
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans
• Family Support: Maternal & Parental Leaves
• Insurance Options: Auto & Home Insurance, Identity Theft Protection
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement
• Time Off: Vacation, Time Off, Sick Leave & Holidays
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing

Pay

Base Salary Range: $150,000 to $200,000 Per Annum