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Infosys Linkedin · Posted 1mo ago

Senior AI Engineer

Bengaluru, Karnataka, India

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Indexed description

We are looking for a highly skilled AI Developer with strong expertise in Python, Azure cloud services, and agentic AI frameworks to design and implement AI-driven solutions in pharmaceutical and manufacturing environments.

This role focuses on end-to-end AI development, integrating industrial data (SCADA, MES, Historians) with cloud platforms (Azure/AWS/GCP) while ensuring compliance with GxP and enterprise data governance standards.


Roles & Responsibilities:

  • Design, develop, and deploy AI/ML solutions for pharmaceutical and manufacturing use cases
  • Build end-to-end data pipelines (batch & real-time) from SCADA, MES, and historians to cloud platforms
  • Implement agentic AI architectures and intelligent workflows
  • Work with Azure services such as IoT Hub, Event Hub, and Stream Analytics
  • Design scalable data models and schemas across SQL and NoSQL databases
  • Ensure secure, reliable, and high-performance systems (AuthN/AuthZ, scalability, resilience)
  • Develop and maintain technical documentation (architecture diagrams, workflows, specifications)
  • Follow DevOps best practices including Git/GitHub, code reviews, and CI/CD pipelines
  • Collaborate with cross-functional teams including data engineers, architects, and business stakeholders


Technical Requirements:

  • Strong experience in Python development (mandatory)
  • Hands-on experience in AI/ML development & agentic AI frameworks
  • Expertise in Azure Cloud (IoT Hub, Event Hub, Stream Analytics)
  • Experience with data engineering & streaming pipelines
  • Knowledge of SCADA, MES, Industrial Historians
  • Strong understanding of SQL & NoSQL databases and performance optimization
  • Familiarity with cloud platforms (Azure / AWS / GCP)
  • Experience in authentication, authorization, and secure system design
  • Proficiency in Git/GitHub and CI/CD practices


Additional Details:

  • Experience in pharmaceutical, life sciences, or manufacturing environments preferred
  • Knowledge of OT–IT integration and Industry 4.0 concepts
  • Familiarity with GxP compliance and regulated environments is a strong advantage
  • Strong analytical, problem-solving, and debugging skills
  • Excellent communication and stakeholder management abilities


Education: Bachelor’s degree in Engineering (CS, IT, Instrumentation, or related field) or equivalent experience

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