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About the Role

Contribute to the design, development, and operation of AI-native enterprise applications within fast-moving, customer-embedded delivery teams. This role is for an early-career AI engineer eager to learn, contribute, and build production-grade solutions for enterprise customers.

Responsibilities

• Contribute to the development of production-grade, cloud-native applications integrating AI capabilities such as large language models, RAG pipelines, and agent-based components.
• Work within customer projects and cross-functional delivery teams, learning to understand business processes, technical landscapes, and customer needs.
• Implement features, components, and integrations under the guidance of senior engineers, maintaining code quality and adherence to engineering standards.
• Support prototyping, testing, and iteration of AI solutions in customer environments, adapting to feedback and evolving requirements.
• Participate in code reviews, technical discussions, and design sessions, actively developing engineering skills and knowledge.
• Assist with monitoring, troubleshooting, and improving deployed solutions to ensure reliability and operational stability.
• Contribute to documentation, reusable components, and engineering best practices to support team productivity and knowledge sharing.
• Demonstrate a proactive learning mindset — staying current with AI/ML developments and applying new techniques and tools to improve solution quality.

Requirements

• 8+ years of hands-on experience in software and application engineering for cloud-native, enterprise, and SaaS environments, with strong knowledge of architectural principles such as scalability, security, and reliability.
• Solid foundational skills in software engineering, with proficiency in Python and hands-on experience in at least one cloud-native development environment.
• Growing understanding of AI and ML concepts, including familiarity with large language models, machine learning frameworks (e.g. TensorFlow, PyTorch, Scikit-learn), and API-based AI services.
• Exposure to data pipelines, MLOps concepts, or AI/ML model integration in application contexts.
• Ability to work collaboratively within a team, follow engineering standards, and take ownership of assigned tasks with a strong sense of accountability.
• Curiosity, adaptability, and a growth mindset — actively seek feedback, learn from experience, and are motivated to grow quickly in a high-pace environment.
• Basic understanding of cloud platforms (e.g. AWS, Azure, GCP) and familiarity with tools such as Git, Docker, and CI/CD pipelines.
• Strong communication skills and the ability to work effectively within cross-functional teams and customer-facing settings.
• An interest in or early exposure to SAP AI technologies such as SAP AI Core or SAP Business Technology Platform (BTP) is a plus.

Skills

• Python
• Cloud-native development
• AI
• Machine learning
• Large language models
• RAG pipelines
• Agent-based components
• TensorFlow
• PyTorch
• Scikit-learn
• API-based AI services
• Data pipelines
• MLOps
• AWS
• Azure
• GCP
• Git
• Docker
• CI/CD pipelines
• SAP AI Core
• SAP Business Technology Platform (BTP)

Location

• New York City, NY

Work Type

• Hybrid
• Regular Full Time

Experience Level

• Early career AI engineer
• 8+ years of hands-on experience in software and application engineering

Salary/Compensations

• 131000-271600 USD

Benefits

• Constant learning
• Skill growth
• Great benefits
• Team that wants you to grow and succeed
• SAP North America Benefits

About the Company

• SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
• Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management.
• As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development.
• Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves.
• At SAP, you can bring out your best.

Equal Opportunity

• SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best.
• At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential.
• We ultimately believe in unleashing all talent and creating a better world.
• SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities.
• Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.