AWS AI Engineer

AWS AI Engineer

Required Certifications:

• AWS Certified AI Foundations or AWS Certified AI professional certifications.
• Active AWS Solution Architect Certification.
• Active CKA Certified Kubernetes Administrator certification.

Key Mandatory Skills:

• Strong Kubernetes skills, including disconnected installation, Kubernetes administration, and troubleshooting issues with the system
• Extensive hands-on experience with EKS cluster deployment and upgrade in the production environment.
• Extensive EKS troubleshooting experience.
• Proven experience in LLMOps, including the deployment, monitoring, and scaling of Generative AI systems in production environments.
• Experience orchestrating and maintaining agentic workflows using frameworks like LangChain, CrewAI, or AutoGen.
• Hands-on experience managing vector databases (e.g., Pinecone, Weaviate, Milvus) and optimizing RAG (Retrieval-Augmented Generation) pipelines for low latency.
• Implementation of AI Governance, including security guardrails (e.g., NeMo Guardrails) and cost-management strategies for LLM consumption.
• Experience building Internal Developer Platforms (IDP) for AI, providing shared tooling for model experimentation and deployment.