Senior Specialist, Platform Analytics AI ( Python and AWS)

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Skills you'll use

What you'll do

• The Senior Specialist, Analytics AI role is responsible for the design, development, automation, and operational support of enterprise AI, GenAI, and MLOps platform capabilities. The role partners with business, architecture, security, data science, and engineering teams to deliver scalable, secure, and compliant AI platform services that accelerate the adoption of AI solutions across Novartis.
• -Manage the end-to-end lifecycle of platform services including onboarding, provisioning, deployment, upgrades, support, monitoring, compliance, and retirement, ensuring reliable and governed operations.
• -Partner with business, data, engineering, architecture, and security teams to translate complex business needs into platform capabilities, accelerating AI adoption and delivery of business value.
• -Lead the implementation and governance of enterprise AI, data, and metadata management practices, ensuring secure, compliant, and trusted access to platform services and assets throughout their lifecycle.
• -Demonstrate high agility in working across diverse business domains and technology landscapes, effectively communicating technical strategies, platform roadmaps, and business impact through executive presentations, dashboards, and storytelling.

Who can apply

• Experience in AI/ML Platform Engineering, MLOps, Platform Engineering, Cloud Engineering, or related software engineering disciplines.
• Strong hands-on experience with AWS cloud services and cloud-native architecture patterns.
• Experience with AWS Bedrock, Bedrock AgentCore, SageMaker, Databricks, MLflow, or equivalent AI platform technologies.
• Strong programming and automation experience using Python and related development frameworks.
• Experience building APIs, platform automation capabilities, infrastructure automation, and CI/CD pipelines.
• Good understanding of AI/ML model deployment, inference patterns, lifecycle management, and production operations.
• Experience with observability, monitoring, platform reliability, security controls, and governance practices.
• Strong analytical, problem-solving, stakeholder management, and communication skills. Experience working in Agile, DevOps, and product-oriented delivery environments.

About Novartis

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