Senior Specialist, Platform Analytics AI (Python and AWS)

About the role

The Senior Specialist, Platform Analytics AI role is responsible for designing, developing, automating and supporting 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 AI adoption across Novartis. The position is based in Hyderabad.

Key responsibilities

• Manage the end-to-end lifecycle of platform services, including onboarding, provisioning, deployment, upgrades, support, monitoring, compliance and retirement.
• Build and operate MLOps, LLMOps and AgenticOps capabilities, and design reusable services such as model serving, inference, orchestration, APIs, observability and automation.
• Implement cloud-native AI platform solutions on AWS, including foundation models, agent-based workflows and model inference.
• Develop APIs and automation for self-service provisioning and deployment, and support Databricks-based ML and GenAI workflows (MLflow, model serving).
• Support onboarding, deployment, migration, upgrade and release activities, and ensure compliance with security, governance, quality and regulatory requirements.
• Implement monitoring, observability, incident management and operational support, and evaluate emerging AI and cloud technologies.
• Maintain technical documentation, reference architectures, standards and procedures, and act as a technical subject matter expert.

Required profile

• 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 building APIs, platform automation, 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.
• Agile, DevOps and product-oriented delivery experience.

Required skills

• AWS Bedrock, Bedrock Agent Core, SageMaker, Databricks, MLflow or equivalent AI platform technologies.
• Python programming and automation.
• Strong analytical, problem-solving, stakeholder management and communication skills.