onsite
AI Platform Engineer IV - Capital Group
Devops Engineer
Senior AI Platform Engineer building secure, scalable AI infrastructure on AWS, orchestrating data pipelines, vector databases, and agent frameworks to enable enterprise‑grade AI solutions.
About the role
Key Responsibilities
- Design, develop, and maintain end‑to‑end AI platform components on AWS, ensuring high availability and security.
- Build and optimize data ingestion pipelines, vector databases, and model serving layers using Python, Docker, and Kubernetes.
- Integrate advanced ML frameworks (TensorFlow, PyTorch) and orchestrate agentic workflows for production workloads.
- Collaborate with data scientists and product teams to expose robust APIs and SDKs for internal and external consumption.
- Implement monitoring, logging, and automated scaling strategies to support large‑scale AI deployments.
Requirements
- 5+ years of experience in AI/ML platform engineering or related roles.
- Proficiency with AWS services (EKS, S3, SageMaker, Lambda) and container orchestration.
- Strong Python programming skills and familiarity with ML libraries (TensorFlow, PyTorch).
- Experience with data engineering, SQL, and vector database technologies.
- Excellent problem‑solving skills and a passion for building reliable, scalable systems.
Skills
pythonawsdockerkubernetestensorflowpytorchsql