Job Description Summary
This role is responsible for designing, building, and governing secure, scalable, and compliant enterprise AI platforms on AWS, enabling AI/ML, Generative AI, LLMOps, Agentic AI, and MLOps capabilities while supporting application teams with platform adoption, deployment standards, security controls, and regulatory compliance in highly regulated environments.
Job Description
Major Accountabilities
Design and deliver secure, scalable, multi-tenant enterprise AI platforms on AWS.
Build and enable Generative AI and LLMOps capabilities using Amazon Bedrock.
Develop Agentic AI orchestration solutions using AWS Agent Core and integrated AWS services.
Implement and manage production-grade MLOps platforms using SageMaker Pipelines, Model Monitor, and Feature Store.
Establish AI platform standards, onboarding frameworks, and deployment best practices.
Provide platform documentation and technical guidance to use case delivery teams.
Ensure compliance with Responsible AI principles and regulations including HIPAA, GDPR, GxP, FDA, and EU AI Act.
Define and enforce AWS security controls, governance, monitoring, auditability, and AI safety mechanisms.
Minimum Requirements
3+ years of python development and platform engineering experience.
2+ years of hands-on AWS cloud engineering experience.
1+ years of experience in AI/ML, MLOps, data platforms, or Generative AI infrastructure
Strong expertise in AWS AI/ML services such as SageMaker, Bedrock, Agent Core, and related AWS services.
Experience managing production environments with focus on security, reliability, scalability, governance, and cost optimization.
Proficiency in Python and experience with AI orchestration frameworks such as LangChain, LlamaIndex, or DSPy.
Good understanding of end-to-end AI solution architecture on AWS, including Bedrock Agents, knowledge bases, and prompt/model tuning.
Strong knowledge of AI governance, regulatory compliance, and AWS security controls; AWS certifications and healthcare/pharma experience preferred.
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
Python (Programming Language)Skills Required
- 3+ years of Python development and platform engineering experience
- 2+ years of hands-on AWS cloud engineering experience
- 1+ year of experience in AI/ML, MLOps, data platforms, or Generative AI infrastructure
- Strong expertise in AWS AI/ML services, including SageMaker, Bedrock, Agent Core, and related AWS services
- Experience managing production environments with security, reliability, scalability, governance, and cost optimization responsibilities
- Proficiency in Python and experience with LangChain, LlamaIndex, DSPy, or similar AI orchestration frameworks
- Understanding of end-to-end AI solution architecture on AWS, including Bedrock Agents, knowledge bases, and prompt/model tuning
- Strong knowledge of AI governance, regulatory compliance, and AWS security controls
- AWS certifications
- Healthcare or pharmaceutical industry experience
Novartis Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Novartis and has not been reviewed or approved by Novartis.
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Healthcare Strength — Pay and benefits are described as a strong overall package, supported by medical, dental, and vision insurance alongside FSAs/HSAs and disability and life coverage. Mental-health support is reinforced through an employee assistance program with psychological support and a network of mental health first aiders.
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Retirement Support — Retirement support is positioned as a standout element, with an automatic company contribution plus dollar-for-dollar matching in the 401(k). Additional retirement funding is described through an age-based defined contribution program and access to an employee share purchase plan discount.
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Parental & Family Support — Family-related benefits are framed as robust, including a global minimum of paid parental leave for new parents following birth or adoption. Added supports include domestic partner coverage, dependent-care resources, and benefits such as adoption assistance and child/elder care options.
Novartis Insights
What We Do
Novartis is an innovative medicines company. Every day, working to reimagine medicine to improve and extend people’s lives so that patients, healthcare professionals and societies are empowered in the face of serious disease. Our medicines reach more than 250 million people worldwide.
