Das ist der Job
Integrate secure inference APIs via gateways like APIGEE to ensure enterprise-grade connectivity.
Darum lohnt es sich
General Purpose of the Job
We are seeking a highly skilled Senior AI Tech Lead, a role requiring DevOps Engineering experience with a deep background in applied AI platforms, distributed systems, and intelligent automation.
The ideal candidate will bring 10+ years of experience building and operating enterprise-scale platforms, with a proven track record of moving AI ideas from experimentation to secure, production-ready deployments in highly regulated environments.
You will lead the design of robust cloud infrastructure and the operationalization of Large Language Models (LLMs) to drive business-focused innovation. Key Responsibilities Infrastructure Development Build and maintain Enterprise Feature Stores and real-time data lakes (BigQuery, Pub/Sub) to streamline predictive modeling and NLP workflows.
Design and implement resilient, secure multi-cloud architectures (GCP and Azure) using Terraform (IaC) to support high-availability AI operations. Model Operationalization & Agentic AI: Operationalize ML models using Python, PySpark, and Kafka for both batch and real-time inference.
Leverage advanced orchestration frameworks such as LangChain, LangGraph, CrewAI, and Vertex AI Agent Builder to develop sophisticated agentic AI solutions. Deployment, Automation & MLOps
