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 Software Engineer – AI Applications & Cloud Platforms to join our Industrial Automation Digital Organization . The role requires a highly motivated software professional with experience in developing enterprise-grade AI-enabled applications, cloud-native services, and intelligent automation solutions. The candidate will contribute to the design, development, and enhancement of scalable Copilot applications and AI-powered platforms leveraging Python, .NET, Angular, and Microsoft Azure technologies.

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

You will be mainly Accountable for:

• Develop and enhance enterprise Copilot applications, AI services, and cloud-native engineering modules using Python, .NET, Angular, and Azure technologies.
• Build backend APIs, frontend components, enterprise integrations, and scalable microservices supporting AI-driven applications and intelligent automation solutions.
• Implement AI workflows involving document search, conversational AI, prompt orchestration, Retrieval-Augmented Generation (RAG)-based retrieval, and orchestration services.
• Develop integrations with APIs, databases, cloud services, and AI platform components to enable scalable and secure enterprise solutions.
• Participate actively in technical design discussions and contribute to module-level High-Level Design (HLD) and Low-Level Design (LLD) activities.
• Ensure adherence to coding standards, cybersecurity requirements, software engineering best practices, and established testing methodologies.
• Support debugging, defect resolution, application optimization, and production support activities to ensure operational stability and application reliability.
• Develop unit tests, integration tests, and contribute to test automation initiatives and CI/CD implementation activities.
• Create and maintain technical documentation including API specifications, feature documentation, deployment guides, and operational support procedures.
• Collaborate effectively with Technical Leads, Architects, Quality Engineering teams, DevOps teams, and Product Management teams to support successful sprint execution and release delivery.

Collaboration & Team Contribution

• Work collaboratively with cross-functional engineering teams operating within Agile and Scrum environments.
• Participate actively in Agile ceremonies including sprint planning, daily stand-ups, sprint reviews, backlog refinement sessions, and retrospectives.
• Support troubleshooting activities and contribute to technical problem-solving discussions to resolve complex engineering challenges.
• Share technical knowledge and contribute to engineering best practices, reusable frameworks, and common engineering components.
• Take ownership of assigned development activities and ensure timely delivery of high-quality software deliverables.

Agile Delivery & Continuous Improvement

• Follow Agile software engineering methodologies and sprint delivery practices to support efficient and predictable software development.
• Participate in continuous improvement initiatives focused on enhancing engineering quality, operational efficiency, and delivery excellence.
• Adhere to established coding guidelines, release management processes, testing standards, and CI/CD practices throughout the software development lifecycle.
• Coll…