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Niche Agentic AI role but metro Mumbai and early-mid level increase applicant density.
Specialized Agentic AI and MCP experience limits portability, though MLOps and cloud skills remain transferable.
Multiple mandatory niche skills (Agentic AI, MCP servers, cloud deployments) create strict screening.
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Design, build, and optimize Multi-agent Systems and Agentic AI architectures delivering measurable business outcomes across domains such as finance, operations, and customer support.
Architect, implement, and deploy production-grade Agentic AI services on client infrastructures including on-prem, private cloud, and hybrid environments, with expertise in Azure and Databricks.
Lead deployment of MCP servers and agent orchestration layers, integrate agents with enterprise systems, and collaborate with client teams to co-create secure custom agents.
Minimum 2+ years of experience in AI engineering or related roles.
Proven experience developing agentic workflows automating end-to-end business processes.
Experience deploying Agentic AI solutions on multiple platforms (Azure, AWS, GCP, on-premises, Kubernetes).
Strong skills with MCP server deployment, agent orchestration platforms, and familiarity with MLOps and CI/CD for AI.
Experienced in designing and implementing complex Agentic AI solutions in enterprise and client-controlled environments.
Technical proficiency and hands-on expertise in multi-agent systems, MCP servers, and cloud platforms (especially Azure and Databricks).
Capable of collaborating with cross-functional teams to integrate advanced AI-driven processes without disrupting existing infrastructure.