AWS AI Engineer

About the Role

We need an AWS AI Engineer for Herndon, VA.

Note: Highlighted Bold skills are a must-have, and hands-on experience is needed.

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.

Certifications

Must have at least one of the following Certifications:

• Valid AWS Solution Architect Certification ID/number. Candidates should have an active certification.
• Either AWS Certified AI Foundations or AWS Certified AI Professional certifications.
• Valid CKA Certified Kubernetes Administrator certification ID/number. Candidates must have an active certification.