remote
Principal Agentic AI Engineer / Architect - SAP
AI Engineer
Lead the design and implementation of agentic AI solutions, building large‑language‑model pipelines, prompt frameworks, and scalable MLOps infrastructure using Python, Kubernetes, and cloud services.
About the role
Key Responsibilities
- Architect end‑to‑end agentic AI systems that integrate large language models with business workflows.
- Design, develop, and optimize prompt engineering strategies to improve model reliability and relevance.
- Build and maintain scalable MLOps pipelines on Kubernetes and cloud platforms (AWS/Azure/GCP) for continuous training, deployment, and monitoring.
- Collaborate with product, data, and engineering teams to translate business requirements into AI solutions.
- Define best practices, coding standards, and governance for AI model lifecycle management.
Requirements
- 10+ years of software engineering experience with strong expertise in Python and machine‑learning frameworks (TensorFlow, PyTorch, or similar).
- Deep knowledge of large language models, prompt engineering, and generative AI techniques.
- Proven experience designing and operating MLOps pipelines and container orchestration (Kubernetes) in cloud environments.
- Track record of delivering production‑grade AI architectures at scale.
- Excellent problem‑solving skills and ability to lead cross‑functional technical teams.
Skills
pythonmachine learningmlopskubernetes