EI
Agentic AI Lead
eTeam Inc.
🇺🇸 United States
On-site
Staff / Principal
2 weeks ago
- AI
- Azure Cloud
- Kubernetes
- MuleSoft
- REST API
- RAG
- AIOps
- Machine Learning
- Python
- Devops
2 weeks ago
Location: Dallas, TX or Bothell, WA (Full Onsite. Candidates willing to relocate to client location will be considered)
Duration: 6 months
Must Have Skills:
- Agentic AI / AI Agents development and orchestration
- LLM-based solution design and knowledge frameworks
- Azure Cloud and Kubernetes
- MuleSoft and REST API integrations
- AI-driven monitoring, support, and automation
- AI Ops Knowledge
- Enterprise application and cloud operations
- Telecom/OSS Domain is mandatory
- Skill Mix: 60% AI / Agentic AI, 40% Cloud & Enterprise Technology.
Nice to Have Skills:
- RAG and AI knowledge management frameworks
- AIOps and intelligent automation solutions
- GenAI governance and observability
- Python automation and scripting
- Cloud-native architecture and DevOps practices
Detailed Job Description:
- The role involves building intelligent AI agents capable of autonomous decision-making, incident analysis, remediation recommendations, workflow orchestration, and operational support across cloud-native ecosystems.
- The candidate will work closely with cloud, application, and platform engineering teams to deliver scalable AI-driven operations solutions.
Key Responsibilities
- Design and implement an Agentic AI framework for Cloud Infrastructure and Application Operations.
- Build and orchestrate AI agents for monitoring, diagnostics, knowledge retrieval, incident triaging, remediation, and operational automation.
- Develop knowledge frameworks utilizing enterprise documentation, operational runbooks, and support processes.
- Integrate AI agents with enterprise platforms and operational tools using APIs.
- Enable AI-driven automation for cloud monitoring, observability, application support, and operational intelligence.
- Collaborate with Cloud and Platform Engineering teams to architect scalable and secure AI-enabled solutions.
- Design reusable frameworks, accelerators, and governance models for AI-based operations.
- Support Azure cloud environments, Kubernetes platforms, MuleSoft integrations, and enterprise application ecosystems.
- Mentor engineering teams and drive adoption of AI-driven operational practices.
- Minimum Years of Experience:
- 10 years
Agentic AI Lead · eTeam Inc.