GenAI Specialist

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 GenAI Specialist.

In this role, you will be responsible for driving enterprise-wide adoption of Generative AI by partnering with business teams to identify high-value opportunities, rapidly develop Proof of Concepts (POCs), and scale successful solutions into enterprise-grade applications. You will combine business understanding, AI expertise, and hands-on development skills to deliver innovative solutions that improve productivity, accelerate decision-making, and create measurable business value.

You will need to deliver impactful GenAI solutions, enable AI adoption across functions, and build a scalable foundation for Autoliv's AI-powered digital transformation journey.

Should you be interested in overseeing these tasks and aiming for enhanced performance standards, your role will involve:

• Partnering with business leaders to identify, evaluate, and prioritize high-value Generative AI use cases.

• Driving enterprise-wide GenAI adoption through innovative solutions that solve real business challenges.

• Designing, developing, and deploying AI-powered copilots, intelligent agents, and automation solutions.

• Rapidly prototyping Proof of Concepts (POCs) and validating business value before scaling.

• Building Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge sources.

• Developing agent-based and multi-agent AI systems to automate workflows and decision-making processes.

• Leveraging Microsoft AI technologies including Azure OpenAI Service, Copilot Studio, Semantic Kernel, Azure AI Studio, Microsoft Fabric, and Dataverse.

• Integrating AI solutions with enterprise platforms such as Microsoft 365, SharePoint, ERP systems, and business applications.

• Developing APIs, microservices, and application components that support scalable AI deployments.

• Managing end-to-end solution ownership from ideation, development, deployment, adoption, and value realization.

• Collaborating with Digital, IT, Engineering, Operations, Supply Chain, and Finance teams to drive AI-enabled transformation.

• Translating complex business problems into practical AI solutions with measurable outcomes.

• Implementing prompt engineering, embeddings, context management, and orchestration frameworks.

• Supporting AI governance, security, compliance, and Responsible AI initiatives.

• Monitoring solution performance, adoption, and continuously improving AI capabilities.

• Developing reusable AI frameworks, assets, accelerators, and best practices.

• Educating stakeholders and helping users build confidence and trust in AI-powered solutions.

• Tracking business impact, ROI, productivity gains, and value realization from AI initiatives.

If you have/are:

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics, or a related field.

• Master’s degree in AI, Data Science, Computer Science, or a related discipline is preferred.

• Minimum 6 years of experience delivering AI, automation, data, or digital transformation solutions.

• Hands-on experience building Generative AI applications, copilots, intelligent agents, and RAG-based solutions.

• Strong understanding of Large Language Models (LLMs), prompt engineering, embeddings, and context management.

• Experience designing and implementing multi-agent and agentic AI systems.

• Expertise within the Microsoft AI ecosystem including Azure OpenAI Service, Copilot Studio, Semantic Kernel, Azure AI Studio, Microsoft Fabric, and Dataverse.

• Strong programming skills in Python and experience developing REST APIs and microservices.

• Experience integrating AI solutions with enterprise platforms including SharePoint, Microsoft 365, ERP systems, and other business applications.

• Knowledge of Azure cloud services, containerization technologies such as Docker, and CI/CD deployment practices.

• Experience in SQL, data pipelines, data integration, and managing structured and unstructured data.

• Understanding of MLOps, LLMOps, model lifecycle management, monitoring, and optimization.

• Knowledge of security, governance, compliance, and Responsible AI principles.

• Strong communication skills and ability to engage with both technical and business stakeholders.

• Experience working in fast-paced, complex, and highly collaborative environments.

Key Competencies

• Business-First Mindset

• Ownership and Accountability

• Innovation and Digital Thinking

• Strategic Problem Solving

• Generative AI & LLM Expertise

• Agentic AI Development

• Rapid Prototyping and Experimentation

• Stakeholder Management and Influence

• Data-Driven Decision Making

• Collaboration and Cross-Functional Leadership

• Continuous Learning and Curiosity

• Adaptability and Agility

• Solution Architecture and Scalability

• Execution Excellence

• User-Centric Design Thinking

Preferred Certifications

• Microsoft Azure AI Engineer Associate (AI-102).

• Azure OpenAI or Generative AI-related Microsoft certifications.

• Microsoft Azure Data Scientist Associate (DP-100).

• Certifications in Generative AI, Prompt Engineering, LLMs, MLOps, or AI Solution Development.

• Cloud and Data Platform certifications related to Azure technologies.

What Success Looks Like

• Successfully delivers multiple GenAI solutions that move from concept to enterprise-scale deployment.

• Drives measurable business outcomes through productivity improvements, efficiency gains, and cost savings.

• Builds trusted AI solutions that are widely adopted across business functions.

• Creates reusable AI assets and frameworks that accelerate future innovation.

• Demonstrates strong ownership from ideation through value realization.

• Establishes scalable and governed AI solutions aligned with enterprise architecture standards.

• Balances rapid experimentation with long-term sustainability and security requirements.

• Acts as a trusted advisor to business leaders on emerging AI opportunities.

• Continuously explores and applies emerging AI technologies to drive competitive advantage.

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.

More lives saved - more life lived!