Generative AI Engineer

Generative AI Engineer – Mid-Level & Senior Bring your talent and passion to Accenture and build a career where technology, data and AI come together to create solutions that transform businesses and communities around the world. We are looking for Mid-Level and Senior Generative AI Engineers to join our growing Data Science & Machine Learning Engineering practice in Europe . In this role, you’ll work as part of a global team of experts, developing and delivering end-to-end AI/ML solutions with a strong focus on Generative AI. As a Generative AI Engineer , you will: Turn data science and AI experiments into production-ready, scalable solutions. Develop and deploy Generative AI solutions , including LLMs and Diffusion Models . Design and implement data models and flows, including ETL, embedding models and vector databases . Build and manage REST APIs for inference, monitoring and model retraining. Orchestrate AI/ML deployments across cloud and on-premise environments. Work across the full AI/ML lifecycle, from data gathering and experimentation to deployment and MLOps . Collaborate with international teams and experts to solve complex business challenges using cutting-edge AI technologies Technologies you may work with Programming: Python, R, C# or similar Machine Learning: PyTorch, Keras, TensorFlow, scikit-learn, MLlib Generative AI: LLMs, Diffusion Models, Generative AI Cloud: Azure ML, AWS SageMaker, GCP Data & Big Data: Hadoop, Beam, Databricks Containers: Docker, Kubernetes AI/Data: Embedding Models, Vector Databases, similarity search Visualization: Power BI, Plotly or similar MLOps, statistics and probability What will help you succeed 3+ years of software engineering experience 1+ year of experience in Data Science and Machine Learning Strong programming experience with Python, C# or a similar language Experience with Linux, Docker and distributed computing Knowledge of machine learning and deep learning models Familiarity with LLMs and Diffusion Models such as Stable Diffusion Experience with big data processing and modeling Experience with cloud platforms such as Azure ML, AWS SageMaker or similar Familiarity with MLOps methodologies Knowledge of similarity search techniques Familiarity with data visualization tools such as Power BI, Plotly or similar Why join Accenture? Flexible working arrangements, including Home Office and Flex-work Opportunities to participate in international projects Continuous professional development in a positive, multicultural environment Access to extensive technical training, bootcamps and learning materials Language courses and development opportunities Family-oriented benefits Share Purchase Plan Transparent bonus structure Refer-a-Friend program with employee referral bonuses About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at   www.accenture.com   Equal Employment