Assoc. Dir. DDIT IES Cloud Engineering

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.

 

Job Description

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:

• Bachelor’s 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