AI Solutions Engineer – Quality & Digitalization

ITH Icoserve; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

SHS AT QT (Advanced Therapies Quality & Regulatory Team) is seeking an AI Solutions Engineer to drive digital quality initiatives by designing and deploying AI/ML solutions. You will collaborate with Process Experts to identify AI integration opportunities and translate requirements into scalable AI systems.

The role focuses on predictive quality, anomaly detection, and automation, ensuring regulatory compliance and professional data handling across healthcare-aligned workflows.

Qualifications

• Knowledge of Artificial Intelligence and Machine Learning concepts.
• Experience implementing AI solutions in real-world products or digital transformation projects.
• Understanding of data preprocessing, feature engineering, model evaluation, and lifecycle management.
• Familiarity with regulatory and responsible AI principles (transparency, explainability, bias mitigation).
• Experience in healthcare, industrial, or regulated domains is advantageous.
• Proficiency in Python and AI/ML frameworks is preferred.
• Exposure to cloud platforms (Azure) and AI services is beneficial.

Responsibilities

• Design, develop, and implement AI/ML solutions for digital quality initiatives.
• Collaborate with Process Experts to identify AI integration opportunities.
• Translate business and quality requirements into scalable AI solutions.
• Implement AI solutions for predictive quality, anomaly detection, and process automation.
• Ensure AI models comply with regulatory, data privacy, and ethical guidelines.
• Deploy and monitor AI solutions in production environments.
• Create and maintain technical documentation for AI models, data flows, and architecture.
• Support cross-functional teams in AI adoption, including training and knowledge sharing.
• Continuously evaluate emerging AI technologies and propose innovations.
• Coordinate with stakeholders across BLs for AI-driven transformation projects.

Skills

AI/ML concepts

Python

AI/ML frameworks

Data preprocessing

Feature engineering

Model evaluation

Lifecycle management

Regulatory/Responsible AI

Healthcare knowledge

Azure cloud services

Tools

Azure AI services

Job description

AI Solutions Engineer – Quality & Digitalization

Job ID

520174

Posted since

28-Aug-2026

Field of work

Research & Development

Company

Experienced Professional

Job type

Full-time

Office/Site only

Employment type

Permanent

Location(s)

SHS AT QT (Advanced Therapies Quality & Regulatory Team) is a global organization focused on ensuring product quality, regulatory compliance, and patient safety across the product lifecycle. It supports innovation by integrating Quality Engineering, Risk Management, Reliability Engineering, and regulatory expertise into product development. The team drives digitalization, AI adoption, and continuous process improvement to enhance efficiency and compliance. SHS AT QT aims to deliver high-quality healthcare solutions faster, enabling better outcomes for patients, customers, and healthcare providers worldwide.

Key Responsibilities

• Design, develop, and implement AI/ML solutions for AT QT as part of digital quality initiatives
• Collaborate with Process Experts to identify AI integration opportunities
• Translate business and quality requirements into scalable AI solutions
• Implement AI solutions for predictive quality, anomaly detection, and process automation
• Ensure AI models comply with regulatory, data privacy, and ethical AI guidelines
• Deploy and monitor AI solutions in production environments.
• Create and maintain technical documentation for AI models, data flows, and implementation architecture
• Support cross-functional teams in AI adoption, including training and knowledge sharing
• Continuously evaluate emerging AI technologies and propose innovations for AT Digitalization initiatives
• Coordinate with stakeholders across BLs for AI-driven transformation projects

Preferred Requirement

• The candidate must possess knowledge of Artificial Intelligence and Machine Learning concepts.
• Experience in implementing AI solutions in real-world products or digital transformation projects.
• Understanding of data preprocessing, feature engineering, model evaluation, and lifecycle management is required.
• Familiarity with regulatory and responsible AI principles (e.g., transparency, explainability, bias mitigation) is expected.
• Experience with healthcare, industrial, or regulated domains is an added advantage.
• Proficiency in Python and AI/ML frameworks is preferred.
• Exposure to cloud platforms (Azure) and AI services is beneficial.

Core Competencies Required

• Analytical & Problem-Solving Skills
• Responsible & Ethical AI Awareness
• Cross-Functional Collaboration
• Stakeholder Communication
• Structured Documentation & Technical Writing