Major accountabilities:

• Architect and Design: Lead the design and architecture of an AWS-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 AWS’s suite of services, including AWS Bedrock, Q, SageMaker, App Studio and AI Infrastructure tools.
• Data Management: Oversee the design and implementation of data storage, retrievals, 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 solutions.
• 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.
• Guide customers in the installation and use of strategic products through education, guidance and user manuals.
• Help to drive architectural improvements and standardization of Cloud environments
• Develop and enhance automated  DevOps processes to release new solutions into the live environment.
• Ensure controls are in place for all configuration items and only authorized changes are made for all assets within enterprise IT environment.

Key performance indicators:

• Delivery on agreed KPIs including business impact.
• Launch of innovative technology solutions across Novartis at scale.
• Business impact and value generated from Cloud solutions.
• Adoption and development of Agile, Productization and DevSecOps practices.
• Operations stability and effective risk management.
• Feedback on customer experience.

Minimum Requirements:
Work Experience:

• Bachelor’s degree in Information Technology, Computer Science, or Engineering.
• 8+ years of strong technical hands-on experience of delivering infrastructure and platform services across geographic and business boundaries
• Minimum 5+ years’ of technical hands-on experience in AWS 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 AWS, particularly with services like AWS Bedrock, Amazon Q, SageMaker, App Studio, Machine Learning and ECS/EKS
• 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.
• Good understanding of 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.
• Excellent skills in collaborating with business users, Product team, Operationalizing the delivered products, working closely with Security for implementing compliance, close interaction with Cloud operations team for provisioning Azure services.
• Good knowledge on implementing well defined & industry standard Change management process for platform & its products. Have a well-structured Use-case onboarding process. Should ensure to have documentation for Platform products and implementations done.
• Experience with DevOps Orchestration/Configuration/Continuous Integration Management technologies
• Good understanding of High Availability and Disaster Recovery concepts for infrastructure
• Ability to analyze and resolve complex infrastructure resource and application deployment issues

Skills:

• Technical Leadership
• DevOps, CI/CD
• AWS Solution Architect certification – professional
• Scrum Methodology
• Agile Software Development
• System integration and Built
• Problem solving / Root Cause Analysis
• Cloud services monitoring & cost optimization
• Business Partnering.
• Agile Project Management.

Languages :

• English.