Job Description

• Joining Capgemini...
• At Capgemini Engineering, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. We use our drive for transformation to meet our clients' challenges of today and tomorrow, reinforced and supported by science and data. Join a team where innovation is not just encouraged — it's expected. Your role
• As a GCP AI Developer, you will be responsible for designing, building, and deploying intelligent AI-powered applications on Google Cloud Platform. You will work closely with data architects, data scientists, and business stakeholders to create scalable, production-ready solutions that deliver measurable business value.
• In this role you will play a key role in: Your profile
• We are looking for a passionate and driven professional who combines deep technical expertise with strong communication skills and a collaborative mindset.
• Designing and developing AI/ML models and generative AI solutions using GCP-native services such as Vertex AI, BigQuery ML, Document AI, and Gemini API, transforming complex business needs into production-ready applications.
• Building and maintaining end-to-end ML pipelines, including data ingestion, feature engineering, model training, evaluation, and serving across distributed cloud environments.
• Collaborating with data architects, business stakeholders, and cross-functional teams to translate business requirements into scalable, intelligent AI solutions with measurable impact.
• Ensuring all AI solutions meet production standards for scalability, monitoring, responsible AI practices, and compliance with data governance frameworks.
• Staying current with GCP AI innovations, emerging industry trends, and best practices in generative AI to continuously improve and evolve development practices within the team.
• 5+ years of proven experience as an AI/ML Developer, with hands-on expertise building and deploying models on Google Cloud Platform (GCP), including Vertex AI and related GCP AI services.
• Strong understanding of machine learning frameworks such as TensorFlow, PyTorch, or JAX, with solid experience in MLOps practices including model versioning, monitoring, and retraining strategies.
• Proficiency in Python with demonstrated experience writing production-grade code, including REST APIs, LLM integrations, and microservices architectures.
• GCP Professional Certification is required; familiarity with generative AI, LLMs, RAG architectures, and prompt engineering is highly valued.
• Advanced English proficiency with the ability to communicate effectively with both business and technical stakeholders across international environments.
• #LI-DC10
• #LI-Remote

Job Description - Grade Specific