Autoliv's primary goal is to Save More Lives. Our products never get a second chance. This is why we can never compromise on quality. We are working to increase vehicle safety by developing seatbelts, airbags and steering wheels and you can be part of our team as Business Solutions Advanced Specialist Digital Manufacturing & AI

The Business Solutions Advanced Specialist partners with Manufacturing, Quality, Engineering, Supply Chain, and IT teams to design, develop, deploy, and support AI-enabled digital solutions that improve operational performance, product quality, traceability, and business value. The role focuses on computer vision and machine learning solutions for the shop floor, their integration with MES and plant systems, and the creation of new AI initiatives in the Americas that can be shared with other regions.

Key Responsibilities

• Own the lifecycle of AI/computer vision models used in manufacturing inspection: training, fine-tuning, validation, versioning, deployment, and retraining.

• Monitor model accuracy and drift, and trigger retraining before quality is affected.

• Deploy and support AI models on edge devices, working with OT, IT, and Quality teams.

• Work with plant Quality teams on dataset curation, labeling, and statistical validation (MSA) of model performance.

• Adopt AI solutions developed in other regions or plants, adapt them to local infrastructure and standards, and improve their accuracy, performance, and documentation.

• Identify and develop new AI and automation initiatives from Americas plant needs, and package them as reusable solutions for other regions.

• Build and support integrations between AI solutions and MES, ERP, WMS, PLC, and quality systems (REST APIs, JSON).

• Develop and optimize SQL/PL/SQL code and data pipelines for traceability, reporting, and training data.

• Support testing, UAT, deployments, and go-live activities under real production conditions.

• Support Enterprise Architecture and AI governance reviews, and document model operating procedures and support handoffs.

• Use AI and automation tools to improve development, troubleshooting, and documentation.

Qualifications

• Bachelor's degree in Computer Science, AI/Machine Learning, Data Science, Electrical/Mechatronics Engineering, or related field.

• 6+ years of experience in software development or AI/ML solutions for manufacturing environments.

• Hands-on experience training and deploying computer vision or machine learning models (defect detection or visual inspection preferred).

• Experience with MLOps practices: model versioning, deployment, drift monitoring, and retraining.

• Development experience with Python (PyTorch/TensorFlow, OpenCV), C#/.NET, JavaScript, or similar.

• Hands-on experience with MES and manufacturing processes (traceability, quality, KPIs).

• Advanced SQL and PL/SQL with relational databases.

• Experience with REST APIs, JSON, and integrations with ERP, WMS, or shopfloor systems.

• Experience with Git and CI/CD practices.

• Fluent English and Spanish; availability to travel domestically and internationally, including to other plants in the Americas.

Preferred

• Edge AI deployment experience (e.g., NVIDIA Jetson) and containerization (Docker).

• Knowledge of statistical validation methods (MSA / Attribute Agreement Analysis).

• Experience integrating with PLC-triggered image capture and OT environments.

• Cloud platforms (Azure, Microsoft Fabric, Snowflake) and Azure AI services.

• Power BI development.

• Experience with Generative AI and AI-assisted development.

• Certifications such as Azure AI Engineer (AI-102), Azure Data Scientist (DP-100), or NVIDIA Deep Learning Institute.

• We will be more than glad to chat with you about your experience and your career goals.

In our international work setting, you will find a range of opportunities that are designed to enhance your career and personal development. Including new and different perspectives is part of what ensures the team's success. We are committed to develop people's skills, knowledge and creative potential. Our training and development programs emphasize technical competency, leadership development and business management skill.