GEN AI Expert

Job description

As part of a strategic initiative on Generative AI, you will design, build, and industrialize high-visibility GenAI solutions. You will work closely with innovation, data, and IT teams to deliver robust, scalable, and secure AI capabilities that integrate seamlessly with enterprise systems Key requirement: - • Design and develop AI-powered applications integrating Large Language Models (LLMs), including RAG, embeddings, and agent-based components. • Define and contribute to scalable GenAI architectures, ensuring robustness, performance, and industrial readiness. • Implement APIs, microservices, and AI pipelines within an industrial Cloud environment. • Support client teams through scoping, technical expertise, architecture reviews, audits, and best-practice guidance. • Ensure solution quality, security, compliance, and observability, following governance and risk-management standards. Required Profile: • Strong backend engineering experience in Python, Node.js, or Java. • Proficiency with GenAI frameworks such as Lang Chain, Llama Index, Hugging Face, and OpenAI API. • Hands-on exposure to at least one major cloud platform (Azure, AWS, or GCP) and experience with demanding production-grade industrial environments. Internal • Ability to operate effectively in large enterprise ecosystems: structured communication, rigor, and a strong service mindset. • Experience with RAG architectures, vector databases, and MLOps pipelines is a strong plus. Team Life & Ways of Working • Embrace and respect Agile rituals, contributing actively to continuous improvement of team processes and collaboration. • Participate in workload estimation for backlog items, challenging complexity and scope when needed. • Contribute to sprint planning and allocation of tasks, supporting the delivery of incremental value and modernization of components (Evergreen approach). Behavioral Skills: • Planning & organizing, • Teamwork & Collaboration, • Customer Focus, • Continuous learning • Ability to rapidly learn and take advantage of new concepts, business models, and technologies • Working with internal and external stakeholders in an international environment. • Product approach mindset Internal.