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Specialist Platform Engineer - Python Developer
Novartis
IND
Full-time
Onsite
Discovered 1 weeks ago
PythonAWS cloud engineeringAmazon SageMakerAmazon BedrockAWS Agent CoreMLOps
Free
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PythonAWS cloud engineeringAmazon SageMaker
Role Overview
Design, build, and govern secure, scalable, and compliant enterprise AI platforms on AWS.
Enable AI/ML, Generative AI, LLMOps, Agentic AI, and MLOps capabilities for application teams.
Key Skills for This Role
PythonAWS cloud engineeringAmazon SageMakerAmazon BedrockAWS Agent CoreMLOps
Full Job Posting
Role overview
Design, build, and govern secure, scalable, and compliant enterprise AI platforms on AWS.
Enable AI/ML, Generative AI, LLMOps, Agentic AI, and MLOps capabilities for application teams.
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 the EU AI Act.
- Define and enforce AWS security controls, governance, monitoring, auditability, and AI safety mechanisms.
Minimum requirements
- At least 3 years of Python development and platform engineering experience.
- At least 2 years of hands-on AWS cloud engineering experience.
- At least 1 year 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.
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