Technical Lead (AI & Automation ) - SKF Automotive Business (Gothenburg, SE) chez SKF

SKF has been around for more than a century and today we are one of the world’s largest global suppliers of bearings and supporting solutions for rotating equipment. Our products can be found literally everywhere in society. This means that we are an important part of the everyday lives of people and companies around the world.   

In September of 2024, SKF announced the separation of its Automotive business, with the objective to build two world-leading businesses. The role you are applying for will be part of the automotive business. This means you will have the opportunity to be a part of shaping a new company aimed at meeting the needs of the transforming global automotive market. Would you like to join us in shaping the future of motion?  We are now looking for a … 

Technical Lead - AI & Automation 
Automotive Business 

Do you thrive at the forefront of AI innovation and enterprise automation? At SKF Automotive’s Data Factory, we’re looking for a Technical Lead who combines visionary thinking with hands-on execution to shape the future of intelligent automation. In this role, you will architect and deliver AI-powered solutions using Power Platform, Copilot Studio, Azure AI Foundry and advanced ML technologies.  

You’ll build scalable agentic automation frameworks, lead strategic initiatives, and drive adoption across the organization. Working closely with stakeholders, you’ll define governance models, foster innovation, and ensure compliance with security and data standards. This is a key role in transforming how we work through AI-driven process integration and intelligent data workflows. 

What you can expect in the role 

• Own the roadmap for AI and automation, focusing on process integration and intelligent data workflows. 

• Design agentic systems that simplify complexity and empower non-technical users to automate and gain insights. 

• Build a strong internal community around agentic AI, offering training, reference architectures, and solution designs. 

• Manage commercial aspects of automation platforms, including cost optimization, ROI tracking, and performance monitoring. 

• Establish and enforce responsible AI practices, governance and ethics frameworks in collaboration with security and compliance teams to organizational security requirements and policies. 

• Architect scalable agentic AI systems that support autonomous decision-making and integrate with enterprise data. 

• Combine rule-based automation with generative AI to create adaptive, intelligent workflows. 

• Orchestrate and integrate controlled automation workflows (e.g., scripting, rule-based processes) with generative AI approaches (non-deterministic workflows), ensuring seamless synergy between deterministic and adaptive automation solutions  

• Enable natural language interaction with enterprise data through tools like Copilot Studio and govern conversational agents. 

• Develop metadata-aware AI agents that improve data integration, traceability, and context-awareness. 

• Mentor technical teams and collaborate with Product Owners, business stakeholders, and IT teams to align agentic AI delivery with strategic goals. 
  
  

We expect you to have 

• Academic background in Computer Science, Information Systems, Cloud Computing, Software Engineering, or a related field. 

• Several years of experience in automation, AI/ML development, or technical leadership roles. 

• Hands-on experience with Copilot Studio, Azure AI Foundry, or similar platforms. 

• Experience building production-ready GenAI solutions using LLMs such as Azure OpenAI or Databricks. 

• Knowledge of agentic AI architectures, including RAG, memory systems, and multi-agent orchestration. 

• Familiarity with federation frameworks and protocols (e.g., MCP, ACP, Agent2Agent) for enabling secure, scalable, and interoperable multi-agent systems. 

• Strong understanding of cloud architecture, data engineering workflows, and enterprise systems. 

• Prior experience working in ML / AIOps. 

• Familiarity with cloud data platforms like Snowflake or Databricks etc 

• Proven ability to lead technical teams and deliver high-impact solutions in cross-functional environments. 
  
  

You will enjoy working here if you 

• Are a strategic thinker who turns complex AI concepts into scalable enterprise solutions. 

• Are passionate about transforming business processes through intelligent automation. 

• Enjoy leading cross-functional initiatives and mentoring technical teams. 

• Thrive in a dynamic environment driven by innovation, autonomy, and continuous learning. 
  
  

SKF is committed to creating a diverse environment, and we firmly believe that a diverse workforce is essential for our continued success. Therefore, we only focus on your experience, skills, and potential. Come as you are – just be yourself. #weareSKF   

Some additional information   
This role can be located at any of SKF Automotive's sites globally, and the preferred locations is Gothenburg - Sweden, Bangalore - India. 

You will report to the Head of Data Factory. For questions regarding the recruitment process, please contact Stina Scheller – Automotive Recruitment Expert, [email protected]. Please note that we can't accept applications and CVs via email.   

Is this you?  
If the answer is yes, submit your application with your CV in English no later than October 7th, 2025. We will screen candidates continuously throughout the application period, so make sure to submit your application as soon as possible. 

At SKF, we are committed to promoting fairness and inclusivity throughout our recruitment process. To achieve this, we may include assessments and verify the information in your application in compliance with country-specific laws and regulations. If you have any questions or concerns, please feel free to contact the recruiter.