Lead Developer of Intelligent IT Processes

2 weeks ago

Hyderabad Secunderabad Telangana, India beBeeArtificial Full time US$ 1,50,000 - US$ 2,00,000
Senior Staff AI Engineer

You are a highly skilled technical lead responsible for the design, development, and implementation of intelligent IT processes. Your expertise in Python programming, artificial intelligence, and automation enables you to create scalable and reliable workflows that enhance IT operations.

As a senior staff member, you thrive in collaborative environments, working closely with MLOps teams to ensure seamless deployment and optimization of AI solutions. Your ability to analyze and decompose complex IT workflows allows you to identify automation opportunities and create efficient systems.

The focus is on reliability and scalability, ensuring AI-driven automation aligns with enterprise best practices and operates efficiently across cloud and hybrid environments. Your experience with IT service management platforms and knowledge of containerization technologies make you an ideal candidate for this position.

  • Develop and implement autonomous AI-driven workflows for incident management, self-healing systems, and intelligent service operations.
  • Design and optimize AI models using prompt engineering strategies.
  • Work closely with IT teams to integrate AI workflows into existing operational frameworks.
  • Partner with MLOps engineers to deploy, monitor, and optimize AI-driven workflows in production.

Key Benefits:

  • Transform IT workflows into intelligent, agentic AI-driven processes.
  • Enhance IT service efficiency through AI-driven incident resolution and workflow automation.
  • Optimize IT operations by predicting and preventing IT issues.
  • Ensure scalable AI deployment using Python, Kubernetes, and CI/CD pipelines.

Requirements:

  • Strong expertise in Python programming and scripting.
  • Experience with agent-based AI frameworks and autonomous workflow orchestration.
  • Familiarity with ITSM platforms such as ServiceNow, BMC, or Jira.
  • Hands-on experience with Kubernetes, Docker, and cloud automation tools.

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