onsite
Staff AI Engineer - Teradata
AI Engineer
Lead the design and delivery of scalable AI products, focusing on agentic AI systems and next‑generation AI stack components, using Python, ML frameworks, cloud services, and container orchestration.
About the role
Key Responsibilities
- Architect and implement highly scalable AI services, with an emphasis on agentic AI systems and large language model integration.
- Design end‑to‑end pipelines for data ingestion, model training, deployment, and monitoring across hybrid cloud environments.
- Collaborate with product, research, and infrastructure teams to translate business requirements into robust AI solutions.
- Optimize performance, reliability, and cost efficiency of AI workloads using Kubernetes, AWS, and distributed computing techniques.
- Mentor senior engineers, establish best practices, and drive technical standards for the AI stack.
Requirements
- 7+ years of professional experience in AI/ML engineering, with a strong focus on large‑scale model development and deployment.
- Expertise in Python and ML frameworks such as TensorFlow or PyTorch, and hands‑on experience with large language models.
- Proven experience building and operating containerized, cloud‑native AI services on Kubernetes and AWS.
- Deep understanding of distributed systems, data pipelines, and performance optimization for AI workloads.
- Strong problem‑solving skills, ability to lead technical initiatives, and excellent communication across cross‑functional teams.
Skills
pythonmachine learningkubernetesaws