Note: The job is a remote job and is open to candidates in USA. iSpace, Inc. is seeking an AI Automation Engineer II to help build and scale a next-generation Enterprise Operational AI Platform. The role focuses on developing multi-agent AI workflows, integrating enterprise operational data sources, and delivering intelligent automation for help desk support, incident management, observability, and autonomous remediation.
Responsibilities
- Develop and enhance a centralized AI assistant for IT Operations teams
- Design, build, and maintain multi-agent AI workflows and orchestration frameworks
- Implement Model Context Protocol (MCP) integrations for real-time operational tasks
- Build AI-driven workflows supporting incident management, infrastructure discovery, capacity planning, and outage prevention
- Design and develop scalable integrations with ServiceNow, Dynatrace, Zabbix, GCP, CMDBs, and other infrastructure data sources
- Enable ingestion, contextualization, and reasoning across operational datasets
- Partner with observability and enterprise search teams to improve AI accuracy and reduce hallucinations
- Leverage AI-assisted development tools such as Devin and Windsurf to accelerate engineering delivery
- Deliver AI-powered Help Desk and Incident Management solutions
- Build intelligent workflows for maintenance suppression, change management, and operational automation
- Support the evolution from AI-assisted recommendations to autonomous remediation capabilities
- Develop metrics and observability frameworks to measure AI performance, confidence, adoption, and MTTR improvements
Skills
- • 1-2+ years of hands-on experience working with:
- • Large Language Models (LLMs)
- • Agentic AI frameworks
- • Prompt engineering
- • Retrieval-Augmented Generation (RAG)
- • AI orchestration platforms
- • 3-5 years of overall engineering experience, including a foundation in one or more of:
- • Python development
- • Backend software engineering
- • API development and integration
- • Data engineering
- • AIOps or IT automation
- • Experience building or integrating AI agents, automated workflows, or orchestration frameworks
- • Understanding of AI observability, monitoring, and governance best practices
- • Experience integrating with or supporting enterprise IT platforms such as:
- • ServiceNow
- • Dynatrace
- • Zabbix
- • GCP
- • CMDB platforms
- • Monitoring and observability tools
- • Knowledge of Model Context Protocol (MCP) or similar integration frameworks is strongly preferred
- • Experience with autonomous AI agents and multi-agent systems
- • Familiarity with Devin, Windsurf, or other AI-assisted development platforms
- • Experience implementing operational AI or AIOps solutions
- • Knowledge of incident management, problem management, and root cause analysis processes
- • Experience building AI solutions within large-scale enterprise environments
Benefits
- Remote work arrangement
- Contract – W2
Company Overview
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