Role overview
ABB Smart Power provides energy distribution solutions for data centers, industrial and manufacturing plants, critical infrastructure and commercial buildings. The Division's technical teams work closely with industry partners, delivering advanced solutions that support rapid growth, energy transition, and sustainability objectives. The Division's portfolio includes industrial circuit breakers, low-voltage systems, motor starting applications, and safety devices like switches and relays. Its Power Protection unit supports the world's largest data center companies with advanced energy-efficient UPS solutions. The Division's ABB Ability™ Energy Manager provides a scalable, easy-to-use platform that helps organizations save energy and reduce CO2 emissions.
What you'll work on
The work model for the role is: hybrid.
Location: Italy or Switzerland
This role is contributing to the Digital Platforms & Capabilities Agile Unit in Electrification Smart Power.
You will be mainly accountable for:
- Design and Build Scalable Data Pipelines: Develop and maintain robust data engineering solutions using Databricks and PySpark to process, transform, and integrate large-scale datasets from multiple sources.
- Enable Data-Driven Decision Making: Create and optimize data models, analytics frameworks, and reporting solutions that provide actionable insights to business stakeholders and leadership teams.
- Maintain and Optimize Generative AI Solutions: Oversee the deployment, monitoring, and continuous improvement of LLM-based applications, including generative and agentic AI systems. Ensure reliability, performance, and cost-effectiveness of AI solutions in production.
- Develop and Refine AI Agents: Build and maintain intelligent agents that leverage Large Language Models for automated decision-making, data analysis, and business process optimization. Implement prompt engineering strategies and fine-tuning approaches to enhance agent performance.
- Lead End-to-End Data Projects: Take ownership of data initiatives from requirements gathering and architecture design through implementation, testing, and deployment in production environments.
- Collaborate Across Functions: Work closely with business analysts, data scientists, product owners to understand data needs and deliver solutions that support strategic decision-making processes.
- Promote Best Practices and Innovation: Champion data engineering and AI excellence, implement DataOps and MLOps practices, mentor team members, and stay current with emerging technologies in the data engineering, analytics, and generative AI.