SAP AI Engineering Architect

Job Description

• 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 Tensor Flow 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/4
  
  HANA 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.

• 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.

• 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.

• 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.
• Salary Range: $150,000 - $200,000 a year.

• BACHELOR OF COMPUTER SCIENCE