Senior Software Engineer

At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.

This Position reports to:

Digital Solution Engineering Manager

What we believe in

ABB’s Process Automation business area enables customers to operate some of the world’s largest and most complex industrial infrastructures, helping them outrun – leaner and cleaner. We offer a broad range of automation, electrification and digital solutions for process, hybrid and maritime industries, including industry-specific integrated control and software as well as measurement and analytics solutions and services.

Your Role And Responsibilities In this role, we are looking for a Senior Software Engineer – AI Platforms & Applications to join our Industrial Automation Digital Organization. The role requires a highly motivated software engineer with strong expertise in developing enterprise-grade AI-enabled applications, scalable cloud-native services, and intelligent automation platforms. The candidate will be responsible for delivering high-quality software solutions across backend services, frontend applications, MLOps workflows, AutoML pipelines, and AI/ML platform integrations that support ABB’s next-generation Industrial AI and Copilot platforms.

The work model for the role is: Hybrid This role is contributing to the Digital Industry Analytics / Research & Development function in India. Main stakeholders include Architects, Technical Leads, AI/ML Engineers, DevOps teams, Product Management teams, Quality Engineering teams, and Platform Engineering teams.

You will be mainly accountable for: **Product Engineering & Development**

• Design, develop, test, and maintain scalable enterprise applications using Python, Angular, REST APIs, and cloud-native technologies.
• Develop backend microservices, orchestration modules, and frontend components supporting AI-enabled applications and Copilot solutions.
• Build reusable APIs, asynchronous workflows, distributed processing services, and automation utilities to improve engineering efficiency and platform capabilities.
• Contribute to the development of features involving conversational AI, Retrieval-Augmented Generation (RAG) pipelines, document intelligence, AI workflows, and enterprise integrations.
• Participate actively in technical design discussions and contribute to High-Level Design (HLD) and Low-Level Design (LLD) activities for assigned components.
• Ensure software quality through adherence to coding standards, unit testing, integration testing, debugging, peer reviews, and continuous improvement practices.
• Optimize applications for scalability, performance, resiliency, and operational stability across cloud-native deployments.
• Develop and maintain technical documentation including API specifications, deployment procedures, design documents, and support guides.

**MLOps & AutoML Engineering**

• Develop and support MLOps workflows encompassing model training, deployment, monitoring, retraining, and lifecycle management activities.
• Build automation pipelines for model experimentation, feature engineering, hyperparameter tuning, and deployment orchestration.
• Integrate AI/ML models and inference services into enterprise applications and cloud-native platforms to deliver intelligent capabilities.
• Support observability, monitoring, telemetry, logging, and operational governance requirements for AI services and machine learning workloads.
• Collaborate with AI/ML Engineers and Data Scientists to productionize machine learning models and optimize inference performance.
• Utilize Azure Machine Learning, Kubernetes, Docker, and CI/CD pipelines to support scalable and reliable AI deployments.

**Frontend & User Experience Engineering**

• Develop responsive and scalable frontend applications using Angular, TypeScript, HTML, CSS, and modern user interface engineering practices.
• Implement reusable UI components, dashboards, visualization capabilities, and seamless API integrations.
• Ensure frontend solutions meet requirements for usability, accessibility, responsiveness, and performance optimization.
• Collaborate closely with UX/UI designers and backend engineering teams to deliver high-quality end-to-end user experiences.

Cloud, DevOps & Platform Engineering …