Specialist Platform Engineer - Python Developer
Novartis (company site, opens in a new tab)3+ yrsHyderabadOn-siteDirect career pageEst. 15–28 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and govern secure, scalable, multi-tenant enterprise AI platforms on AWS supporting AI/ML, Generative AI, LLMOps, Agentic AI, and MLOps.
- Develop and enable Generative AI and Agentic AI solutions using Amazon Bedrock, AWS Agent Core, and other AWS AI/ML services like SageMaker.
- Ensure compliance with Responsible AI principles and regulations (HIPAA, GDPR, GxP, FDA, EU AI Act), and enforce AWS security controls, governance, and AI safety mechanisms.
Minimum Requirements
- 3+ years of Python development and platform engineering experience.
- 2+ years of hands-on AWS cloud engineering experience with strong expertise in AWS AI/ML services such as SageMaker, Bedrock, Agent Core.
- 1+ years of experience in AI/ML, MLOps, data platforms, or Generative AI infrastructure.
- Proficiency in Python and AI orchestration frameworks (e.g., LangChain, LlamaIndex, DSPy); knowledge of AI governance, regulatory compliance, and AWS security controls.
Ideal Candidate Profile
- Experienced in operating and scaling production-grade AI/ML platforms within highly regulated industries, especially healthcare/pharma.
- Technically skilled in architecting end-to-end AI solutions on AWS, incorporating security, scalability, and governance considerations.
- Familiar with implementing AI platform standards, onboarding frameworks, and fostering adoption of AI/ML technologies in enterprise settings.