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:
R&D Leader(Industrial Software)-AUEN BLWhat 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 an experienced Senior AI Engineer – Generative AI Platforms to join our Industrial Automation Digital Organization. The role requires a highly skilled software engineering professional with expertise in Generative AI, Large Language Models (LLMs), Agentic AI, cloud-native application development, and AI platform engineering. You will be responsible for designing, developing, and deploying production-grade AI solutions while collaborating with cross-functional engineering teams to build secure, scalable, and intelligent enterprise applications.
This role is contributing to the Process Automation – Automation Digital organization in Bangalore, India. Main stakeholders include Product Management, AI/ML Engineering, Data Science, Platform Engineering, DevOps, UX Design, Architecture, and Software Engineering teams.
The work model for the role is: Hybrid
You will be mainly accountable for- Design, develop, and deploy end-to-end Generative AI applications by building LLM integrations, Retrieval-Augmented Generation (RAG) pipelines, Agentic AI workflows, AI APIs, and cloud-native enterprise solutions using modern AI frameworks and engineering best practices.
- Develop scalable AI platforms using Python, .NET, Kubernetes, CI/CD pipelines, and cloud-native technologies, while implementing prompt engineering, evaluation frameworks, AI governance, model monitoring, responsible AI practices, and secure deployment strategies.
- Collaborate with Product Management, AI/ML Engineering, Data Science, Platform Engineering, UX Design, and Software Engineering teams to define solution architectures, translate product requirements into technical implementations, and deliver reliable, high-quality AI-enabled products.
- Drive engineering excellence by leveraging AI-assisted development tools, contributing to architecture standards, mentoring engineering teams, evaluating emerging AI technologies, and continuously improving software quality, developer productivity, and operational efficiency.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Information Technology, or a related technical discipline.
- 10+ years of software engineering experience, including 3+ years designing and developing AI, Machine Learning, or Large Language Model (LLM)-based applications.
- Strong programming expertise in Python and .NET, with hands-on experience developing enterprise-grade AI applications using LLMs, Retrieval-Augmented Generation (RAG), Prompt Engineering, LangChain, n8n, MCP, A2A, and related AI frameworks.
- Experience designing cloud-native applications using Kubernetes, containerization technologies, CI/CD pipelines, and modern DevOps practices, with strong understanding of AI application architecture, evaluation methodologies, and Agentic AI patterns.
- Experience integrating AI capabilities into user-facing applications, working with frontend technologies, and utilizing AI-assisted software development tools such as GitHub Copilot, Claude Code, or similar coding assistants.
- Strong understanding of software architecture, SDLC, design patterns, cloud platforms, DevOps methodologies, AI governance, model evaluation, monitoring, and responsible AI practices.
- Strong analytical, communication, collaboration, stakeholder management, and problem-solving skills with the ability to work effectively in global cross-functional teams. Experience in Industrial Automation, Manufacturing, Energy, Process Industries, or Digital Platforms is 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 Automation Digital organization develops next-generation AI platforms, cloud-native industrial software, intelligent automation solutions, and digital services that help customers improve operational efficiency, reliability, safety, and sustainability. By combining deep industrial expertise with advanced Artificial Intelligence, cloud technologies, and modern software engineering, ABB continues to shape the future of industrial digitalization.
At ABB, you'll collaborate with global engineering teams to build enterprise-scale AI platforms, leverage cutting-edge Generative AI and Agentic AI technologies, and contribute to mission-critical software that transforms industries worldwide. We foster a culture of innovation, continuous learning, diversity, and inclusion where every individual is empowered to 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.
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Skills Required
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Information Technology, or related engineering discipline
- 10+ years professional software engineering experience including 3+ years designing and developing AI/ML or LLM-based applications
- Strong programming expertise in Python
- Strong programming expertise in .NET
- Hands-on experience with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)
- Experience with LangChain, n8n, MCP, A2A, and agentic AI frameworks
- Experience designing retrieval pipelines, prompt engineering, and model evaluation frameworks
- Experience deploying, monitoring, and optimizing AI applications on Kubernetes and container platforms
- Experience building and maintaining CI/CD pipelines with automated build, testing, security scanning, and deployments
- Experience integrating AI capabilities into front-end user-facing applications and translating Figma designs
- Experience using AI-assisted development tools (e.g., GitHub Copilot, Claude Code)
- Strong understanding of SDLC, software architecture principles, design patterns, and engineering best practices
- Experience with cloud platforms and DevOps practices
- Exposure to Industrial Automation, Digital Platforms, Manufacturing, Energy, or Process Industries
- Strong analytical, problem-solving, communication, and collaboration skills for global cross-functional teams
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.
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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.
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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.
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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
