Key skills
AIMachine LearningMLNLPNatural Language ProcessingGenerative AIGenAIOpenAIPyTorchTensorFlowMLOpsKerasETLData EngineeringData WarehousingData LakeAnalyticsAWSAzureGCPKubernetesDockerAKSPerformance OptimizationAgileCI/CDProject ManagementChange ManagementCollaboration
About this role
Job Description Summary
-Expert and Responsibility for complex:a) Solution Design and Architecture of Technology Assets / Products orb) Platform Architecture and Governance of Technology Platforms.
Job Description
Major accountabilities:
Architect and Design: Lead the design and architecture of an Azure-based AI infrastructure platform, with a focus on supporting generative AI workloads and advanced analytics for pharma business use-cases.
Platform Development: Develop and deploy scalable AI solutions, leveraging Azure’s suite of services, including Azure Machine Learning, Azure Synapse Analytics, and other relevant tools.
Data Management: Oversee the design and implementation of data storage, retrieval, and processing pipelines, ensuring the efficient handling of large datasets, including genomic and chemical compound data.
Security and Compliance: In collaboration with cloud domain security architects, implement robust security measures and ensure compliance with relevant industry standards, particularly in handling business sensitive data.
Collaboration: Work closely with data scientists, research scientists, and other business stakeholders to understand their needs and translate them into technical requirements.
Performance Optimization: Optimize the performance and cost-efficiency of the platform, including monitoring and scaling resources as needed.
Innovation: Stay updated with the latest trends and technologies in AI and cloud infrastructure, continuously exploring new ways to enhance the platform's capabilities.
Multi-Cloud: Has good exposure/understanding of other Cloud and GenAI technologies like GCP, OpenAI, Perplexity, AWS, etc.
Minimum Requirements:
Work Experience:
Bachelor’s degree in information technology, Computer Science, or Engineering.
MS-Azure Solution Architect certification – professional level
10+ years of solid experience working in public cloud environments; delivering infrastructure and platform services across geographic and business boundaries
Minimum 5+ years’ experience working in MS-Azure Solution Architect / Design Expert role for large enterprises
Deep understanding of Architecture and Design of Platform Engineering products with focus mainly on Data science/ML compute products, Cognitive, (Gen)AI, etc.
Extensive experience in building infra solutions on Microsoft Azure, particularly with services like Azure OpenAI, AI Studio, Machine Learning, Azure Kubernetes Service (AKS), Azure Synapse Analytics, Azure Cognitive Services and Azure Data Lake.
Proficiency in AI and Machine Learning frameworks (TensorFlow, PyTorch, Keras) and familiarity with model deployment and operationalization (MLOps).
Solid hands-on experience in Generative AI techniques, including Natural Language Processing (NLP), Generative Adversarial Networks (GANs), and transformer models (e.g., GPT, BERT).
Good understanding in data engineering, including ETL processes, data warehousing, and working with both structured and unstructured data.
Knowledge of containerization and orchestration technologies, such as Docker and Kubernetes.
Experience with DevOps practices and tools, including CI/CD pipelines, infrastructure as code (IaC), and monitoring solutions.
Experience with DevOps Orchestration/Configuration/Continuous Integration Management technologies
Good understanding of High Availability and Disaster Recovery concepts for infrastructure
Skills:
Microsoft Azure Architecture & Platform Engineering
AI and Machine Learning (TensorFlow, PyTorch, Keras, MLOps)
Generative AI & NLP (GPT, BERT, GANs, Transformer models)
Azure Data & Analytics Services (Synapse, Data Lake, Cognitive Services, AI Studio, OpenAI)
Azure Kubernetes Service (AKS) & Containerization (Docker, Kubernetes)
DevOps & Infrastructure as Code (CI/CD pipelines, IaC, Monitoring)
Cloud Solution Design for High Availability & Disaster Recovery
Cognitive & (Gen)AI Solution Architecture and Deployment
Security & Compliance Integration within Cloud Platforms
Why consider Novartis?
Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us!
Learn more here:
https://www.novartis.com/about/strategy/people-and-culture
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.
Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here:
https://talentnetwork.novartis.com/network
Skills Desired
Agile Project Management, Business Partnering, Change Management, IT Service Delivery, Performance Management