Senior Software Engineer
AI in this role
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 ManagerWhat 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 systems, software, measurement, analytics, and lifecycle services. Our digital portfolio enables customers to improve operational excellence, reliability, sustainability, and digital transformation across industrial operations.
Your role and responsibilities
In this role, you will join ABB's Industrial Automation Digital Organization as a Senior Software Engineer – AI Platforms & Applications. You will contribute to the development of next-generation AI-enabled applications, cloud-native platforms, and intelligent automation solutions that power ABB's Industrial AI and Copilot ecosystem. Working closely with Architects, AI/ML Engineers, Product Management, Platform Engineering, and DevOps teams, you will design, develop, and deploy scalable software solutions that integrate AI capabilities, MLOps workflows, and modern cloud technologies to deliver innovative industrial digital products.
This role is contributing to the Digital Industry Analytics / Research & Development organization in Bangalore, India.
The work model for the role is: Hybrid
You will be mainly accountable for:
- Design, develop, and maintain scalable AI-enabled applications, backend services, APIs, and cloud-native microservices using modern software engineering practices to deliver secure and high-performing enterprise solutions.
- Develop and integrate AI/ML capabilities, MLOps pipelines, AutoML workflows, and intelligent automation services while supporting model deployment, monitoring, and lifecycle management across cloud platforms.
- Collaborate with Architects, AI/ML Engineers, Product Management, DevOps, and Quality Engineering teams to deliver end-to-end software solutions, drive technical excellence, and ensure successful product releases.
- Contribute across the complete software development lifecycle by implementing responsive user interfaces, optimizing application performance, ensuring software quality, and driving continuous improvements through Agile and DevOps practices.
Qualifications for the role
- Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, Data Science, or a related discipline.
- 6–10 years of experience in software engineering with strong expertise in developing enterprise-grade, cloud-native applications using Python and modern software development practices.
- Strong experience in frontend development using Angular, TypeScript, HTML, and CSS, along with backend development using REST APIs, microservices, and distributed application architectures.
- Hands-on experience with Artificial Intelligence, Machine Learning integration, MLOps practices, Azure Machine Learning, AutoML workflows, and model lifecycle management.
- Experience with Microsoft Azure, Kubernetes, Docker, CI/CD pipelines, DevOps practices, and cloud-native deployment models.
- Good understanding of observability, monitoring, logging, telemetry, cybersecurity best practices, and secure software development for enterprise applications.
- Strong analytical, problem-solving, communication, and collaboration skills with experience working in Agile, cross-functional, and globally distributed engineering teams.
More about us
ABB is a global technology leader in electrification and automation, helping industries become more productive, efficient, and sustainable. The Process Automation business automates, electrifies, and digitalizes some of the world's most complex industrial infrastructures, serving customers across energy, process, hybrid, marine, mining, chemicals, water, and manufacturing industries.
The Digital Industry Analytics organization is driving ABB's next generation of Industrial AI, intelligent automation, and cloud-native software platforms by combining advanced analytics, machine learning, and domain expertise. At ABB, we foster an inclusive culture where collaboration, innovation, and continuous learning empower our people to create sustainable digital solutions that accelerate industrial transformation worldwide.
Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. We welcome people from all backgrounds and experiences.
Ready to make an impact? Apply today or visit www.abb.com to learn more about the impact of our solutions across the globe.
Recruitment Fraud Warning
ABB never asks for payment from job applicants. All genuine job offers follow a formal application and interview process.
View current job openings and apply at: https://careers.abb/global/en/home
For more information, read our full fraud warning notice at: https://global.abb/group/en/careers/how-to-apply/fraud-warning
How we score this
Senior Software Engineer at ABB scores 63 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 3. The daily work is on or around AI systems, without necessarily building the model: remove AI and the job is hollow.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you monitor a model once it's live, and how do you know it needs retraining?
- Tell me about a workflow you automated with AI tools, end to end.
- What are the limits of Copilot that you've run into, and how did you work around them?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: Ml Ops, AI Automation, and Copilot. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
Want your resume actually rewritten for this job?
The free preview above is everything we have today. A full resume rewrite is not live yet and has no price set. Join the waitlist and we will email you if we open it.
Get new AI jobs at AI Level 3+ by email
One email a week with the new AI jobs at AI Level 3+, each rated AI Level 1 to 4 for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Software Engineering roles rated AI Level 3 at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step