Home
Communities
Companies
- Companies
  
  Discover best places to work
- Compare Companies
  
  Compare & find best workplace
- Add Office Photos
  
  Bring your workplace to life
- Add Company Benefits
  
  Highlight your company's perks
Reviews
- Company reviews
  
  Read reviews for 6L+ companies
- Write a review
  
  Rate your former or current company
Salaries
- Browse salaries
  
  Discover salaries for 6L+ companies
- Salary calculator
  
  Calculate your take home salary
- Are you paid fairly?
  
  Check your market value
- Share your salary
  
  Help other jobseekers
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 1K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

WINNERS AWAITED!
- ABECA 2025
  
  WINNERS AWAITED!
  
  AmbitionBox Employee Choice Awards - 4th Edition
- ABECA 2024
  
  AmbitionBox Employee Choice Awards - 3rd Edition
- AmbitionBox Best Places to Work 2022
  
  2nd Edition
- AmbitionBox Best Places to Work 2021
  
  1st Edition

Add office photos

Premium Employer

Sandoz

Compare

4.0

based on 389 Reviews

408 Sandoz Jobs

Assoc. Dir. DDIT IES Cloud Engineering

Sandoz

4.0

based on 389 Reviews

7-10 years

Hyderabad / Secunderabad

1 vacancy

Assoc. Dir. DDIT IES Cloud Engineering

Sandoz

posted 16d ago

Job Role Insights

Flexible timing

Key skills for the job

Computer Science Machine Learning Information Technology Clinical Data Management Risk Management Change Management

+ 4 more

Job Description

Responsible for designing and developing a cutting-edge AI and Generative AI infrastructure on AWS platform, 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 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, 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 platforms 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