Company Name

Capgemini Technology Services India Limited ( Chennai )

Job Description

• Your Role
  • As the Agentic and Generative AI Infrastructure Lead, you will architect and manage the foundational infrastructure that powers enterprise-scale AI innovation.
  • This role is central to enabling the secure, scalable, and cost-effective deployment of Agentic AI workloads across multi-tenant and multi-service environments.
  • You will be responsible for orchestrating the technical backbone that supports AI agents as they interact with APIs, core data systems, and hybrid cloud environments - including legacy and third-party platforms.
  • With a strategic builder's mindset, you will lead the design and implementation of infrastructure that supports the full AI lifecycle - from development and training to deployment and monitoring.
  • Your work will ensure that AI systems are not only performant and reliable but also governed by robust access controls, cost containment strategies, and compliance safeguards.
  • This role is pivotal in balancing innovation with operational discipline, ensuring that AI capabilities scale responsibly across the organization.
  Your Profile
  • Strong technical background with a degree in management or computer science, and proficiency in SQL and Python for data analytics.
  • At least 2 years of experience building and managing enterprise-grade cloud infrastructure (AWS, Azure, GCP), with a focus on multi-tenant and multi-service architectures.
  • Deep understanding of AI orchestration, including data flow management, computational resource optimization, and coordination of multiple AI models.
  • Proven ability to implement robust security and access controls, including RBAC, network policies, and isolation techniques.
  • Experience with cost containment strategies for cloud-based AI deployments, including awareness of API call fees and Retrieval-Augmented Generation (RAG) training costs.
  • Foundational understanding of Agentic AI concepts and their application in enterprise environments.

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