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AI Infrastructure Architect / Engineer

bluePillartechnolologies.LLP

4 - 5 years

9 - 13 Lacs

Hyderabad

Posted:17 hours ago

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Job Description

Role summary
Build and run the enterprise AI platform layer: governed access to many kinds of models (open-source, frontier, SaaS, cloud-managed, private), the infrastructure for agentic AI, and the security and cost controls around all of it.

Total IT exp: 4 to 5 years. AI experience: minimum 1 year.
Location: HydreabadClient: HITACHI ENTERPRISESIf interested, send your resume: k.sridhar@bluepillartechnologies.com

Key responsibilities

  • Architect and operate enterprise AI inferencing platforms with unified, governed, cost-efficient model access.
  • Design and maintain a governed model catalog and model routing framework, with guardrails, access controls, and cost governance.
  • Own the infrastructure workstream for agentic AI: cloud account architecture, runtime environments, memory and gateway services, and governance.
  • Implement authentication, authorization, and access control for AI platforms (SSO, SAML, SCIM, RBAC).
  • Integrate enterprise AI SaaS tools with internal identity, collaboration, and data systems.
  • Work with security, compliance, and risk teams on AI-powered security and operational solutions using private AI infrastructure.
  • Set up FinOps and consumption governance: dashboards, usage analytics, token governance, cost attribution.
  • Give architecture guidance and technical governance to AI and agentic workflow teams.

Required skills

  • Cloud architecture (AWS/Azure/GCP), including multi-account setups
  • LLM serving and inference (managed APIs and self-hosted open models), API gateways, model routing
  • Identity and access: SSO, SAML, SCIM, RBAC, IAM
  • Kubernetes, containers, Infrastructure-as-Code (Terraform or similar)
  • FinOps, observability, and usage/token monitoring
  • Security and compliance fundamentals for AI (data governance, guardrails)

Good to have

  • Experience with agentic frameworks and agent runtimes
  • Enterprise AI SaaS rollouts (e.g., copilots, chat assistants)
  • Vector stores and memory services

Pay: ₹900,000.00 - ₹1,300,000.00 per year

Benefits:

  • Provident Fund

Experience:

  • Cloud development: 4 years (Preferred)

Work Location: In person

Skills Required

Open Source Saas Access Control Security Compliance Analytics Cloud Architecture AWS Azure GCP Kubernetes Terraform Data Governance

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Job Type

Full Time

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bluePillartechnolologies.LLP

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