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 Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.