SageBeans RPO
Apply Now
Cloud Infrastructure AI Engineer Remote
Description
Elevate your career as a Cloud Infrastructure AI Engineer with our agile team in a remote or hybrid setting. Focus on innovative AI agent solutions and robust cloud systems.
This role is pivotal in enhancing AI governance and security strategies. You will design and maintain AI infrastructures leveraging AWS and Azure technologies. Your work will ensure observability across multi-cloud environments while collaborating closely with the Engineering team to enrich enterprise AI landscapes.
Key Responsibilities: • Deploy AI agent workloads using AWS Bedrock and Azure • Architect AI pipelines on Azure for maximum performance • Develop enterprise LLM gateways for enhanced functionality • Capture audit KPIs ensuring compliance with standards • Design health monitoring dashboards for AI systems
Requirements: • 5+ years in software engineering; 2+ in AI/ML infrastructure • Extensive AWS and Azure technology experience • Proficient in REST APIs and observability tools ...
This role is pivotal in enhancing AI governance and security strategies. You will design and maintain AI infrastructures leveraging AWS and Azure technologies. Your work will ensure observability across multi-cloud environments while collaborating closely with the Engineering team to enrich enterprise AI landscapes.
Key Responsibilities: • Deploy AI agent workloads using AWS Bedrock and Azure • Architect AI pipelines on Azure for maximum performance • Develop enterprise LLM gateways for enhanced functionality • Capture audit KPIs ensuring compliance with standards • Design health monitoring dashboards for AI systems
Requirements: • 5+ years in software engineering; 2+ in AI/ML infrastructure • Extensive AWS and Azure technology experience • Proficient in REST APIs and observability tools ...