Job Description

Summary Responsible for designing and developing a cutting-edge AI and Generative AI infrastructure on AWS Cloud platforms and COLO, tailored for pharmaceutical business use-cases. The platform will facilitate pharma research scientists and other business users for early molecule development and other research activities by providing robust, scalable, and secure computing resources.Major accountabilities:

• Architect and Design: Lead the design and architecture of a GPU optimized deep learning framework like NVIDIA DGX or Qualcomm AI Stack, Google TPU, with a focus on supporting Generative AI workloads and advanced analytics foundational models for pharma business use-cases. Working expereince of models like BioNeMo, ESM (Evolutionaly Scale Modeling) or other drug discovery models will be highly preferred.
• Platform Development: Develop and deploy scalable AI, Deep Learning & ML Ops solutions, leveraging AWS Cloud services, including Bedrock, Q, SageMaker, App Studio and AI Infrastructure 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 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.

Minimum Requirements:Work Experience:

• Bachelors degree in Information Technology, Computer Science, or Engineering.
• AWS Solution Architect certification professional
• 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 GPU driven AI Infrastructure, ML Ops, Run:AI, 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, fine tuning of models 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, with DevOps practices and tools, including CI/CD pipelines, infrastructure as code (IaC), and monitoring solutions.
• Good understanding of High Availability and Disaster Recovery concepts for infrastructure
• Ability to analyze and resolve complex infrastructure resource and application deployment issues

Key performance indicators:

• Adherence to the Novartis IT quality standards
• Deliver on time
• Cost optimization
• Completeness and quality of deliverables
• Customer feedback (expectations met/exceeded)
• Application on boarding delivery success
• Actively contribute to the business with innovative solutions that show results in the form of cost optimization and / or growth of the business top line revenue.

Skills:

• Technical Leadership
• DevOps, CI/CD
• Scrum Methodology
• Agile Software Development
• System integration and Built
• Problem solving / Root Cause Analysis
• Cloud services monitoring & cost optimization

Languages :

• Excellent written, presentation and verbal communication skills
• Languages: Fluent in English (written & spoken), additional languages a plus

Skills Desired Agile Project Management, Business Partnering, Change Management, IT Service Delivery, Performance Management

Novartis