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 deliver automation, electrification, and digital solutions across process, hybrid, and maritime industries through advanced industrial software, AI-enabled platforms, cloud-native technologies, and analytics solutions that accelerate digital transformation and operational excellence.
Your Role and ResponsibilitiesIn this role, we are looking for a Technical Lead – AI & Cloud Platforms to join ABB's Industrial Automation Digital Organization. You will provide technical leadership for enterprise AI, cloud-native, and industrial software platforms while leading a team of software engineers in designing, developing, and delivering scalable, secure, and high-performance applications.
Working closely with Product Management, Solution Architects, AI/ML Engineers, DevOps, and Quality Engineering teams, you will drive engineering excellence, mentor development teams, and ensure successful delivery of cloud and AI platform capabilities using modern technologies including .NET, Python, Angular, Microsoft Azure, Kubernetes, and Generative AI.
This role is contributing to the Process Automation – Digital Industry Analytics / Research & Development organization in Bangalore, India.
The work model for the role is: Hybrid
You will be mainly accountable for:
- Lead the design, architecture, and development of enterprise AI and cloud-native applications by defining technical direction, establishing engineering standards, reviewing solution designs (HLD/LLD), and ensuring secure, scalable, and maintainable software architectures.
- Mentor and lead a high-performing software engineering team by providing technical guidance, conducting code reviews, supporting career development, removing technical blockers, and fostering a collaborative engineering culture.
- Drive end-to-end product delivery by partnering with Product Management, Architects, DevOps, and Quality Engineering teams to plan roadmaps, prioritize features, implement CI/CD and DevSecOps practices, and deliver high-quality software through Agile methodologies.
- Champion engineering excellence by promoting best practices in software development, AI platform engineering, automated testing, cybersecurity, documentation, performance optimization, continuous improvement, and operational reliability.
- Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline.
- 7+ years of software engineering experience with proven technical leadership in developing enterprise applications using .NET/C#, Python, Angular, REST APIs, and cloud-native architectures.
- Strong expertise in Generative AI, Large Language Models (LLMs), LLMOps, RAG, NLP frameworks, AI model lifecycle management, and deploying AI solutions in production environments.
- Experience with Microsoft Azure, including services such as Azure Kubernetes Service (AKS), Azure App Services, Azure SQL, Cosmos DB, Data Lake, containerization (Docker), Kubernetes, microservices, asynchronous programming, and CI/CD pipelines.
- Strong understanding of software architecture, distributed systems, design patterns, data structures, algorithms, cybersecurity, and scalable application design.
- Experience working with Agile/Scrum teams, mentoring engineers, driving technical excellence, and collaborating with cross-functional global stakeholders.
- Excellent analytical, communication, stakeholder management, and problem-solving skills, with exposure to Industrial IoT technologies such as MQTT and OPC UA considered an advantage.
ABB is a leading global technology company driving the transformation of industries toward a more productive and sustainable future. The Process Automation business area automates, electrifies, and digitalizes some of the world's most complex industrial infrastructures across energy, process, hybrid, and maritime industries.
Our Digital organization develops innovative industrial software, AI-powered platforms, cloud-native applications, and advanced analytics solutions that help customers improve operational efficiency, reliability, safety, and sustainability. By combining deep domain expertise with cutting-edge technologies, ABB empowers customers to accelerate their digital transformation journey.
At ABB, you'll collaborate with global engineering teams to build next-generation Industrial AI and cloud solutions while growing your technical leadership capabilities. We foster a culture of innovation, continuous learning, diversity, and inclusion where every individual can make a meaningful impact.
ABB is committed to providing equal employment opportunities to all qualified applicants. Employment is subject to applicable background verification and pre-employment screening in accordance with ABB policies.
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
Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 7+ years in a technical leadership role with software engineering teams
- Expert knowledge of LLMOps principles and NLP frameworks
- Strong experience with Azure cloud computing services
- Experience in designing scalable microservices-based systems
- Proven track record of working in CI/CD pipelines
- Understanding of Industrial IoT protocols and standards
- Excellent communication and collaboration skills
- Experience mentoring junior team members
ABB Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ABB and has not been reviewed or approved by ABB.
-
Healthcare Strength — Healthcare coverage is described as comprehensive, with medical, dental, vision, mental health support, and disability and life insurance included. Immediate eligibility in some roles reinforces the sense of dependable core coverage.
-
Leave & Time Off Breadth — Time-off offerings are described as broad, including paid holidays, sick days, volunteer time, sabbaticals, and, in some cases, 25 days of PTO. Flexible scheduling and remote-work options add to perceived time-off and flexibility value.
-
Retirement Support — Retirement benefits are positioned as robust, including a 401(k) with company contributions or matching and, in some cases, profit sharing or pension savings. Stock purchase/share acquisition programs complement longer-term savings options.
ABB Insights
What We Do
ABB is a leading global technology company that energizes the transformation of society and industry to achieve a more productive, sustainable future. By connecting software to its electrification, robotics, automation and motion portfolio, ABB pushes the boundaries of technology to drive performance to new levels. With a history of excellence stretching back more than 130 years, ABB’s success is driven by about 110,000 talented employees in over 100 countries. www.abb.com
