Associate Director - AI Infrastructure And Platform Engineering

Novartis India; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Novartis India is seeking a senior leader to drive architecture and engineering for Enterprise AI Infrastructure and Platform Engineering. You will guide solution design, governance, and integration across security, networking, and Operations to enable reliable delivery of complex AI initiatives.

The role requires deep enterprise architecture expertise, technology leadership, and the ability to build trusted partnerships across multiple ICT domains to accelerate AI adoption and innovation within

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline; Master's degree preferred.
• 12+ years of experience in Enterprise Hybrid Infrastructure, Platform Engineering, Enterprise Architecture, or related technology domains.
• Proven experience in designing, engineering, and operating enterprise-scale infrastructure and platform services across large organizations.
• Experience engineering enterprise AI infrastructure, AI workloads, and AI-enabled applications.
• Experience designing and operationalizing secure AI development environments, platform services, and integration with identity, networking, and security.

Responsibilities

• Translate architecture direction into detailed engineering designs, delivery plans, and reusable platform components.
• Drive adoption of emerging AI technologies with secure and efficient deployment patterns.
• Develop AI developer environments, AI workspaces, AI APIs, and model access patterns.
• Ensure platform reliability, observability, resilience, and DR readiness in line with standards.
• Oversee onboarding and integration of enterprise AI platforms with identity, security, monitoring, and operations.

Skills

Enterprise Architecture

Leadership

Solution Design

Cross-team Collaboration

Technology Strategy

Education

Bachelor's degree in Computer Science or related field

Master's degree preferred

Tools

Kubernetes

Terraform

CI/CD (GitHub Actions, Azure DevOps, Jenkins)

GitHub Actions

Azure DevOps

Jenkins

Ansible

Job description

Job Description:

Summary

Lead architecture and engineering deliveries and modernization of Enterprise AI Infrastructure & Platform Engineering domain, responsible for ensuring high-quality solution design, integration and governance that meet organization requirements, align with enterprise standards, and enable reliable delivery of complex initiatives.

The role requires strong technology leadership, enterprise architecture and engineering solution expertise, and the ability to build trusted partnerships across Enterprise Architecture, Hybrid Infrastructure, Security, Identity & Access Management, Networking, End User Computing, Operations, AI Enablement, and Business Technology teams

About The Role

Key Responsibilities:

• Execute the Enterprise AI Infrastructure & Platform Engineering strategy aligned with enterprise technology roadmap and business objectives. Translate architecture direction and roadmaps into detailed engineering designs, delivery plans, and reusable platform components.
• Evaluate and drive adoption of emerging AI technologies, ensuring the organization is positioned to leverage innovation securely and efficiently. Establish repeatable engineering patterns, reference implementations, and reusable platform components to accelerate enterprise AI adoption
• Drive engineering of AI developer environments, AI workspaces, AI APIs, model access patterns, AI agent frameworks, RAG solutions, vector databases, and MCP-based integrations. Deliver scalable, resilient, and secure AI platform services supporting enterprise AI initiatives.
• Ensure platform reliability, observability, resilience, disaster recovery, and operational readiness. Ensure alignment with Enterprise Architecture, Infrastructure Security & Compliance, Risk, and Infrastructure standards.
• Oversee onboarding and integration of enterprise AI platforms (e.g., ChatGPT Enterprise, Claude, Gemini, Azure AI Foundry, AWS Bedrock, AgentCore, Vertex AI, Run.AI, SLURM, and open-source AI platforms) with enterprise identity, networking, security, monitoring, and operational services.
• Ensure engineering deliverables align with Enterprise Architecture, Infrastructure Security & Compliance, Risk, and Infrastructure standards
• Ensure technical documentation, implementation guides, operational runbooks, and engineering knowledge assets are maintained to high standards
• Provide hands‑on technical leadership across the AI Infrastructure & Platform Engineering team, guiding solution design, technology choices, and engineering standards.
• Review and approve technical designs, engineering patterns, and platform implementations delivered by engineers.
• Collaborate with business stakeholders and enterprise technology teams to deliver enterprise AI capabilities. Foster a culture of engineering excellence, innovation, automation, continuous learning, and customer‑centricity.

Essential Requirement:

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline . Master's degree preferred
• 12+ years of experience in Enterprise Hybrid Infrastructure, Platform Engineering, Enterprise Architecture, or related technology domains.
• Proven experience in designing, engineering, and operating enterprise-scale infrastructure and platform services across large organizations.
• Demonstrated experience in engineering enterprise AI infrastructure and platform capabilities supporting Generative AI, AI/ML workloads, and AI-enabled applications.
• Experience designing and operationalizing secure AI development environments, enterprise AI platform services, AI APIs, identity integration, networking, platform security, observability, and operational support.
• Exposure to 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 is highly desirable.
• Experience with AI platform architecture, GPU/HPC infrastructure, AI compute environments, AI gateways, vector databases, model access patterns, and enterprise AI governance is an advantage.
• Enterprise AI Platforms and AI developer environments (JupyterLab, VS Code, AI Workstations, Claude Cowork).

Desirable Requirement:

• Kubernetes & Container Platforms. Infrastructure as Code (Terraform, Bicep, ARM, Ansible) and CI/CD platforms (GitHub Actions, Bitbucket, Azure DevOps, Jenkins).
• AI Model Integration & AI Agent Frameworks. identity & Access Management (Microsoft Entra ID / Active Directory, OAuth2, OIDC, SAML), RBAC, Key Vault, Secrets Management.

Why Novartis:

Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture

Benefits and Rewards:

Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards

Why Novartis:

Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture

Benefits and Rewards:

Learn about all the ways we’ll help you thrive personally and professionally.

Read our handbook (PDF 30 MB)

Requirements: