AI Solutions Engineer

About the 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:

Service Business Process Manager__

Your role and responsibilities

In this role, you will develop and deploy end-to-end AI and machine learning solutions that address complex business challenges across Operations, Sales, and Service functions. This role combines technical expertise in ML/AI with business acumen to translate customer needs into scalable, production-ready AI solutions. The engineer works closely with data engineers, product managers, and business stakeholders to architect, build, test, and optimize AI models while ensuring solution quality, governance, and measurable business impact.

The work model for this role is: #LI-Hybrid

You will be mainly accountable for:

• Designing, developing, and deploying machine learning models and AI solutions to solve business challenges in operations, maintenance, forecasting, and process optimization.
• Architecting end-to-end ML workflows, including data preparation, feature engineering, model development, validation, and production deployment.
• Conducting exploratory data analysis, feasibility assessments, and proof-of-concept (POC) initiatives to evaluate business value and technical viability.
• Collaborating with data engineers and cross-functional teams to build scalable data pipelines and ensure high-quality training datasets.
• Applying ML engineering and MLOps best practices, including model versioning, CI/CD, containerization, monitoring, governance, and documentation.
• Monitoring model performance in production, address model drift, and implement retraining strategies to maintain accuracy and business relevance.
• Communicating AI/ML insights to technical and non-technical stakeholders, contribute to engineering standards, and drive adopt