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 : The work model for the role is :Hybrid

This role is contributing to the Digital Industry Analytics / Research & Development function in India. Main stakeholders include Product Managers, Solution Architects, AI/ML Engineers, DevOps teams, Quality Engineering teams, Platform Engineering teams, and cross-functional business stakeholders.

You will be mainly accountable for : Product Development & Technical Leadership

- Provide technical leadership, establish coding standards, and drive engineering best practices for enterprise AI platform development.
- Create Work Breakdown Structure (WBS) plans to support feature implementation, sprint execution, release planning, and engineering deliverables.
- Ensure cybersecurity standards, secure coding practices, AI governance principles, prompt safety controls, and tenant isolation mechanisms are consistently implemented across engineering teams.
- Drive adoption of engineering best practices related to coding standards, testing methodologies, debugging approaches, observability frameworks,



and operational excellence.
- Conduct code reviews, architecture reviews, and technical assessments to maintain engineering quality and adherence to established standards.
- Implement and enforce automated testing frameworks, CI/CD pipelines, deployment automation practices, and release management processes.
- Develop and maintain technical documentation including architecture diagrams, deployment topologies, API specifications, solution designs, and engineering guidelines.
- Collaborate closely with Product Managers and Architects to define roadmaps, support MVP realization, and prioritize engineering initiatives.
- Ensure engineering documentation remains current, standardized, and readily accessible across development teams.
- Support scalable deployment patterns leveraging Kubernetes, asynchronous processing, caching strategies, and cloud-native architectural principles.

People Leadership & Team Management

- Mentor, coach, and provide technical guidance to engineering teams while supporting career development initiatives.
- Delegate responsibilities, manage sprint priorities, and ensure effective engineering execution aligned with quality and delivery objectives.
- Communicate effectively with cross-functional teams, Product Management, Architecture teams, and key stakeholders regarding technical progress and delivery status.
- Provide regular sprint updates, engineering status reports,



and delivery metrics to leadership and stakeholders.
- Foster a team-oriented, inclusive, and innovation-driven engineering culture focused on continuous improvement and technical excellence.
- Identify dependencies proactively and remove technical blockers to ensure smooth sprint execution and successful delivery outcomes.
- Collaborate effectively with DevOps, Cloud Engineering, Security, AI/ML, and Product Engineering teams to drive cross-functional execution.

Agile Delivery & Scrum Processes

- Act as a Scrum Technical Lead or work closely with Scrum Masters to ensure adherence to Agile methodologies and engineering practices.
- Facilitate and actively participate in sprint planning sessions, daily stand-ups, sprint reviews, retrospectives, backlog grooming, and engineering planning discussions.
- Encourage continuous improvement across engineering processes, automation capabilities, and delivery efficiency initiatives.
- Identify opportunities to optimize sprint execution, deployment processes, release activities, and operational workflows.
- Provide mentorship and coaching to team members on Agile engineering execution, delivery excellence, and software development best practices.

Qualifications for the role :

- Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related technical discipline.
- 7+ years of experience in software engineering with demonstrated experience in technical leadership roles.
- Strong understanding of LLMOps principles, AI orchestration systems, Natural Language Processing (NLP) frameworks, and enterprise AI platform engineering.
- Experience with model monitoring, AI inference services, orchestration frameworks, and producti

📌 Principal Software Engineer (Bengaluru)
🏢 ABB
📍 Bengaluru