Senior AI Cloud Engineer

As a Cloud AI Engineer III at Insight Enterprises, you will lead the architecture, design, and delivery of enterprise-scale AI/ML and Generative AI cloud platforms. You will drive technical strategy, establish engineering standards, mentor teams, and deliver secure, scalable, and cost-optimized AI infrastructure across multi-cloud environments including AWS, Azure, and GCP.

• Architect enterprise-scale AI/ML infrastructure across AWS, Azure, and Google Cloud Platform ensuring high availability and cost efficiency.
• Lead the design and implementation of cloud infrastructure standards, governance frameworks, and security controls.
• Design scalable Kubernetes-based platforms and self-service environments for ML and data science teams.
• Architect Generative AI, Retrieval-Augmented Generation (RAG), vector database, and LLM deployment solutions.
• Build and manage production-grade MLOps and LLMOps pipelines for model training, deployment, and monitoring.

• Bachelor's degree in Computer Science or equivalent.
• 5-8 years of relevant experience in cloud architecture and platforms (AWS, Azure, Google Cloud Platform).
• Hands-on experience with GenAI frameworks and orchestration tools such as LangChain, CrewAI, LlamaIndex, or Semantic Kernel.
• Experience designing RAG pipelines, embedding workflows, prompt orchestration, and vector search solutions.
• Strong understanding of LLM deployment patterns, model serving, and inference optimization.
• Strong scripting and programming skills in Python, Bash, or PowerShell.