Senior AI Engineer

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. Your role We are now looking for AI Engineers to scale our Data & AI Capabilities within the Engineering Practices of Capgemini. You will be part of a diverse and inclusive team of Data Scientists, Data Engineers and Software Engineers, working on a variety of Client Challenges within the Automotive, Manufacturing, Life Science, Defence and Retail Industries. You will deliver value to Nordic clients through senior-level assignments, contribute to solution design and presales activities, and act as a Subject Matter Expert in Data, AI & ML. Collaboration with other engineering practices to optimize operations is key. In this role you will play a key role in:

• Lead client projects and provide technical expertise.
• Support presales and solution architecture discussions.
• Represent the organization as a thought leader in Data, AI & ML.
• Collaborate across engineering domains to implement data-driven optimizations.
• Design and own end-to-end AI solutions, from data pipelines to deployment, monitoring, and governance.
• Build and evolve MLOps and CI/CD capabilities for automated model deployment and lifecycle management.
• Define architecture standards and security controls for Generative AI, LLM, and RAG solutions.

Your profile

• Master’s degree in Computer Science, Physics, Mathematics, Biology, Engineering, or a related field, with 5+ years of relevant industry experience.
• Strong programming and analytics expertise in Python, R, C++, and statistical data analysis.
• Hands-on experience with SQL, Elasticsearch, Databricks, Snowflake, and large-scale data pipelines using Spark, PySpark, Kafka, and Hadoop.
• Proficiency with ML and AI technologies, including PyTorch, TensorFlow, Scikit-learn, AWS, Azure, Google Cloud, and agentic AI frameworks such as LangChain, AutoGen, and OpenAI Agents SDK.
• Deep understanding of LLMs, prompt engineering, RAG, MCP-based agentic workflows, ETL processes on cloud platforms, and the ability to collaborate effectively with external technology stakeholders.

We value flexibility to adapt in high-paced working environments. Ability to lead own tasks and coordinate others. Excellent English communication skills, both writing and speaking. We are reviewing candidates continuously and will be flexible to discuss contracts with later start dates. Most of our clients are based in Gothenburg; however, we do have opportunities in other locations. Therefore, we are open to reviewing candidates who are based out of Gothenburg, if they can travel for the needs of their assignments as per client request. Candidates based in Gothenburg will be prioritized. In this recruitment process, we might ask about your current citizenship. This is due to some of our projects being aimed at the military and defence industry. For those openings, a Swedish citizenship is needed. We will also perform an ID-check during the interview phase for all candidates. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.