ABB

Principal Software Architect

Reposted Yesterday

Be an Early Applicant

Bangalore, Bengaluru Urban, Karnataka, IND

In-Office

Senior level

Robotics • Analytics • Energy

The Role

Lead architecture and engineering for enterprise AI platforms: define standards, design scalable AI/Copilot/Agentic systems, enforce governance and security, drive CI/CD and IaC, mentor engineering teams, and collaborate with product and cloud/security stakeholders to deliver production-scale AI solutions.

Summary Generated by Built In

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 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 Responsibilities

In this role, we are looking for a Principal Architect – Enterprise AI Platforms to join our Industrial Automation Digital Organization. You will provide strategic technical leadership in defining the architecture, engineering standards, and technology roadmap for ABB's next-generation Enterprise AI Platforms, including Copilot ecosystems, Agentic AI frameworks, LLMOps capabilities, and intelligent automation solutions.

Working closely with Product Management, Engineering Leadership, AI/ML Engineers, Platform Engineering, DevOps, Security, and Cloud teams, you will drive architecture governance, mentor engineering organizations, and ensure scalable, secure, and resilient AI platform delivery using Python, .NET, Angular, Microsoft Azure, and modern cloud-native technologies.

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

Define and govern enterprise architecture standards, technical roadmaps, and engineering best practices for AI platforms, ensuring scalable, secure, resilient, and cloud-native solutions that support Copilot, Agentic AI, and intelligent automation capabilities.
Lead the architecture and design of enterprise AI platforms by driving High-Level and Low-Level Design (HLD/LLD), AI governance, LLMOps, Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), platform integrations, observability, and cybersecurity strategies.
Provide technical leadership and mentorship to Architects, Technical Leads, and engineering teams while collaborating with Product Management, AI/ML, DevOps, Cloud, Security, and Customer Success organizations to deliver strategic platform initiatives.
Drive engineering excellence through architecture governance, design reviews, CI/CD and DevSecOps adoption, performance optimization, documentation standards, Agile delivery practices, and continuous improvement across the software development lifecycle.

Qualifications for the Role

Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical discipline.
10+ years of experience in enterprise software engineering, solution architecture, and technical leadership with expertise in designing large-scale cloud-native platforms and distributed systems.
Strong expertise in Generative AI, Large Language Models (LLMs), LLMOps, Agentic AI, Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), AI governance, vector databases, and enterprise AI platform architecture.
Hands-on experience with Microsoft Azure, including Azure OpenAI Service, Azure Kubernetes Service (AKS), Azure App Services, Azure SQL, Cosmos DB, cloud security, Kubernetes, Docker, Infrastructure as Code (IaC), and DevSecOps practices.
Deep understanding of software architecture, microservices, asynchronous programming, distributed systems, scalability, resiliency, observability, performance optimization, and secure API design.
Proven experience leading architecture reviews, mentoring engineering teams, establishing engineering governance, and collaborating with global cross-functional stakeholders in Agile environments.
Excellent communication, stakeholder management, strategic thinking, and problem-solving skills, with exposure to Industrial IoT technologies such as MQTT and OPC UA considered an advantage.

More About Us

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 leaders to define the future of Enterprise AI, Industrial Copilots, and cloud-native platforms while influencing technology strategy across a global engineering organization. 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.

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, AI, Data Science, or related
8+ years of experience in software engineering, enterprise architecture, and technical leadership
Expert knowledge of LLMOps principles, Agentic AI systems, and Model Context Protocol (MCP) architectures
Hands-on experience with Python, .NET, and Angular in enterprise applications
Proven experience with AI observability, prompt governance, vector databases, and RAG pipelines
Strong hands-on experience with Microsoft Azure services including Azure OpenAI Service, AKS, Cosmos DB, App Services, and Azure SQL
Extensive expertise in Kubernetes, CI/CD pipelines, deployment automation, DevSecOps practices, and Infrastructure as Code
Demonstrated ability to architect secure, scalable, resilient web applications and RESTful API platforms
Deep understanding of model lifecycle management, orchestration frameworks, AI governance, and production-scale AI deployment
Strong understanding of scalable distributed systems, microservices architectures, data structures, algorithms, and asynchronous programming models
Proven experience mentoring technical teams and driving engineering governance and architecture reviews
Excellent communication, documentation, stakeholder management, and cross-functional collaboration skills
Understanding of IIoT protocols and standards such as MQTT and OPC UA

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.