Specialist Platform Engineer - Python Developer

Biopharma Careers; Hyderabad; On-site; INR 2,000,000 - 3,600,000; Full time

Job summary

Novartis is seeking an experienced platform engineer to design, build, and govern secure, scalable AI platforms on AWS. You will enable Generative AI, LLMOps, agent orchestration, and MLOps with Bedrock and SageMaker while guiding teams on deployment standards and regulatory compliance.

You will establish platform governance, security controls, and best practices, supporting regulated environments with HIPAA, GDPR, FDA, and EU AI Act alignment.

Qualifications

• 3+ years of Python development and platform engineering experience.
• 2+ years of hands-on AWS cloud engineering experience.
• 1+ years of 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.

Responsibilities

• 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.

Skills

Python

AWS

AI/ML

LangChain

LlamaIndex

DSPy

SageMaker

Bedrock

Agent Core

AI governance

Tools

SageMaker Pipelines

Model Monitor

Feature Store

Bedrock Agents

AWS services

Job description

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.

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