NovartisPosted 1w ago

Sr. Specialist DDIT IES CHS AI Infra. Engineering

Sr. Specialist DDIT IES CHS AI Infra. Engineering at Novartis scores 65 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.

Hyderabad (Office)seniorFull time

AI in this role

chatgptclaudegeminilanggraphcrewaibedrockvertex-ai

ragai-agents

Job Description Summary

Sr Spec DDIT IES cloud Engineer will be responsible for designing, engineering, implementing, and operating enterprise AI infrastructure and platform capabilities that enable secure, scalable, and governed adoption of AI technologies across the enterprise.

The role will focus on engineering enterprise AI platforms, developer environments, 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

Key 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.

Essential Requirements

Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.
5+ years of experience in AI Infrastructure Engineering, Cloud Engineering and DevOps toolsets
Relevant Cloud, Kubernetes, DevOps, Security, or AI certifications.
Experience engineering enterprise AI platforms supporting Generative AI and AI-enabled workloads.
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

Desirable Requirements:

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 diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Skills Desired

Agile Project Management, Change Management, Digital Capabilities, IT Service Delivery, Stakeholder Engagement

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

RagAI AgentsChatGPTClaudeGeminiLangGraphCrewAIBedrock

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
What are the limits of ChatGPT that you've run into, and how did you work around them?
What's a project where you used Claude hands-on?
Walk me through how you've used Gemini in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Rag, AI Agents, ChatGPT, Claude, and Gemini. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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