Sign up to access all features of our service.
  • Job search
  • Favorites
  • Create a CV
    New
  • Salaries
  • Subscriptions

AI/Cloud Engineer Role for Governance

SageBeans RPO

Step into a Senior AI/Cloud Engineer role focused on infrastructure and governance in a hybrid model. Create and manage AI agent systems leveraging AWS and Azure. In this position, you will operate production-ready AI workloads on AWS Bedrock and Azure AI Foundry. Your responsibilities will include transforming governance and security practices, ensuring compliance with organizational standards, and integrating with enterprise platforms. You’ll work with engineering teams for continuous improvement in observability practices across AI systems. Key Responsibilities:

  • Architect and deploy AI agent workloads across cloud platforms
  • Enhance Azure pipelines with monitoring and telemetry support
  • Implement security policies for sensitive data systems
  • Create observability solutions for system health and reporting
  • Engage in CDR processes for high-quality AI deployments
Requirements:
  • Minimum 5 years in software or platform engineering
  • Proficiency in Python with CI/CD implementation knowledge
  • Background in AI/ML infrastructures and LLM systems
  • Strong skills in observability engineering and policies
  • Familiarity with compliance standards and auditing practices
Leverage your expertise in AI and cloud technology to drive governance and security innovation. #J-18808-Ljbffr

Vacancy posted more than 2 months ago

Do you want to receive more vacancies?

Subscribe and receive similar vacancies to AI/Cloud Engineer Role for Governance. Be the first to apply!