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Sr. Specialist DDIT IES CHS AI Infra. EngineeringNovartis · Hyderabad (Office)
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Novartis

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Sr. Specialist DDIT IES CHS AI Infra. Engineering

🗓️ Posted 2026-10-12 Hyderabad (Office) Hybrid ICT
💰 Salary Not shared 📊 Market 250,000 CHF–400,000 CHF/mo

About the Company

Novartis is an innovative medicines company. Every day, working to reimagine medicine to improve and extend people's lives so that patients, healthcare professionals and societies are empowered in the face of serious disease. Our medicines reach more than 250 million people worldwide. Find out more at https://www.novartis.com See our community guidelines: https://go.novartis.social/3Nboxki Pharmaceutical Manufacturing Specialties: Cardiovascular, Immunology, Neuroscience, Solid Tumors, Hematology, Chemistry, xRNA, Radioligand, Gene and cell therapy

About the Role

ts, infrastructure, automation, and enterprise integrations across SaaS AI platforms, cloud AI services, hybrid, and on-premises environments. The role will collaborate with Enterprise Architecture, Hybrid Infrastructure, Security, Identity & Access Management, Networking, End User Computing, Operations, AI Enablement, and Business Technology teams. Job Description

Responsibilities

  • ● Design, engineer, deploy, and support enterprise AI infrastructure and platform capabilities.
  • ● Onboard and integrate enterprise AI platforms with enterprise identity, networking, security, monitoring, and operational services.
  • ● Engineer AI developer environments, AI workspaces, API connectivity, model access, and platform integrations.
  • ● Develop reusable platform components, reference implementations, and engineering patterns to accelerate enterprise AI adoption.
  • ● Develop Infrastructure as Code (IaC) solutions using Terraform, CFT, Bicep, ARM, Ansible, or equivalent technologies.
  • ● Build and maintain CI/CD pipelines for provisioning, configuration, deployment, and lifecycle management of AI platforms.
  • ● Automate infrastructure provisioning, platform operations, configuration management, and operational workflows using scripting and DevOps practices.
  • ● Implement platform monitoring, logging, observability, backup, disaster recovery, high availability, and performance optimization solutions.
  • ● Troubleshoot complex infrastructure, networking, platform, and integration issues across enterprise AI environments.
  • ● Support operational excellence through proactive monitoring, incident resolution, and continuous service improvement.

Requirements

  • ● Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.
  • ● + years of experience in AI Infrastructure Engineering, Cloud Engineering and DevOps toolsets
  • ● Relevant Cloud, Kubernetes, DevOps, Security, or AI certifications.
  • ● Understanding of LLMs, AI APIs, AI agents, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), vector databases, model access patterns, and enterprise AI platform architecture.
  • ● Enterprise AI ecosystems such as ChatGPT Enterprise, Claude, Gemini, Azure AI Foundry, AWS Bedrock, AgentCore, Vertex AI, Strands Agents SDK, LangGraph, CrewAI, Run.AI or SLURM or open-source AI platforms.
  • ● Kubernetes & Container Platforms
  • ● Infrastructure as Code (IaC), DevSecOps & CI/CD
  • ● AWS & Azure Monitor, Prometheus, Grafana, Log Analytics, Kusto Query Language (KQL), or equivalent monitoring platforms
  • ● AI Developer Platforms (JupyterLab, VS Code, AI Workstations, Claude Cowork).
  • ● Commitment to Diversity and Inclusion
  • ● Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.
  • ● Accessibility and accommodation
  • ● Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message.