Design, build, and optimize Multi-agent Systems and Agentic AI architectures.
Develop agentic workflows to automate complex, multi-step processes across domains.
Architect and deploy production-grade Agentic AI services for on-prem/private cloud/hybrid.
Lead MCP server deployments and agent orchestration across cloud/data platforms.
Integrate agents with enterprise systems, data lakes, APIs, and security frameworks.
Evaluate and adopt Agentic AI frameworks and reasoning engines (ReAct, Plan-and-Execute).

🎯 Requirements

Proven track record in developing agentic workflows that automate end-to-end processes.
Strong experience with deployment of MCP servers and agent orchestration platforms.
Experience deploying Agentic AI solutions across Azure, AWS, GCP, on-prem, Kubernetes.
Solid understanding of MLOps, CI/CD for AI, monitoring.

Apply on employer's website

This employer gathers applications via their own applicant tracking system.

You will be redirected to an external application form.

Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Engineering Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Activate JobCopilot