AI Expert / GenAI

In this role

• You will take the technical lead on end-to-end Generative AI and AI/ML projects, from business case definition and solution design through to production deployment and monitoring, acting as architect and coach for the engineering team.

• You will guide teams through the full project lifecycle like problem framing, GenAI solution architecture (LLMs, RAG, agentic systems), model integration and fine-tuning, and LLMOps/MLOps industrialization by bringing deep expertise and evidence-based solutions to complex, high-impact use cases.

• You will provide strategic Generative AI and data science consulting to our clients, building trusted relationships, advising on GenAI roadmaps and their execution, raising risks, and influencing key decisions as a go-to person for the customer.

• You will actively lead offers and pre-sales activities on Generative AI and sovereign AI initiatives: scoping proofs-of-concept, structuring and estimating proposals, responding to tenders, and directly contributing to the growth of ELCA’s AI practice and portfolio.

• You will mentor and coach junior and senior data scientists and ML/GenAI engineers, fostering a culture of knowledge sharing and continuous skill growth across the team.

• You will run group-wide thought leadership initiatives to advance our Generative AI and sovereign AI practice, promote best practices, and sustain our technical excellence.

What we offer

• A stimulating and professional working environment in a dynamic team with extensive expertise

• Exciting projects and challenging problems to solve using the latest technologies

• Flat organizational hierarchies and cross-functional teamwork

• Close contact with customers in diverse industries

• A supportive culture with excellent opportunities for professional and personal development

Your profile

• 8+ years of experience in AI, with a strong focus on Generative AI / LLM-based solutions, including a proven track record of leading end-to-end GenAI projects from business case to production

• Hands-on experience architecting and delivering production-grade GenAI solutions — LLM integration, RAG pipelines, agentic architectures, prompt engineering and fine-tuning — alongside classical ML/data pipelines, LLMOps/MLOps industrialization (e.g. MLflow), deployment and monitoring

• Strong knowledge of GenAI/LLM ecosystems and frameworks (e.g. LangChain, LlamaIndex, Hugging Face, vector databases) and, ideally, of classical machine learning frameworks (scikit-learn, TensorFlow, PyTorch)

• Solid understanding of software architecture, data platforms and integration patterns (RESTful APIs, messaging, streaming) needed to embed AI solutions into enterprise environments

• Strong experience with Cloud services and AI/ML offerings on at least one of Azure, AWS, GCP

• Good knowledge of sovereign and on-premise AI platforms and open-source foundation models (e.g. self-hosted LLMs, private/sovereign cloud offerings), and of the data sovereignty, security and compliance considerations they entail

• Strong knowledge of best practices and tooling for CI/CD pipelines, DevOps, automation, agile methods, automated testing and code quality

• Demonstrated ability to lead client engagements: build trust, shape strategic AI roadmaps, and actively support pre-sales, proposals and tender responses

• Experience mentoring and coaching data scientists and ML engineers, and growing team capabilities

• Excellent communication and stakeholder management skills, comfortable engaging technical and business audiences up to C-level

• Fluent in French and in English