1 day ago
Pully, SwitzerlandStaff+

Responsibilities

  • Lead end-to-end Generative AI and AI/ML projects from business case definition and solution design through production deployment and monitoring.
  • Architect and deliver LLM integrations, RAG pipelines, agentic systems, prompt engineering, fine-tuning, and LLMOps/MLOps industrialization.
  • Provide strategic Generative AI and data science consulting, advise clients on AI roadmaps, raise risks, and influence key decisions.
  • Lead GenAI pre-sales activities, including proof-of-concept scoping, proposal estimation, tender responses, and offer development.
  • Mentor and coach data scientists and ML/GenAI engineers and grow team capabilities.
  • Lead thought leadership initiatives and promote best practices in Generative AI and sovereign AI.

Requirements

  • 8+ years of experience in AI, with a strong focus on Generative AI and LLM-based solutions.
  • Proven track record leading end-to-end GenAI projects from business case through production.
  • Hands-on experience with production-grade GenAI architecture, LLM integration, RAG, agentic architectures, prompt engineering, fine-tuning, deployment, and monitoring.
  • Experience with classical ML and data pipelines and LLMOps/MLOps tooling such as MLflow.
  • Knowledge of LangChain, LlamaIndex, Hugging Face, vector databases, and ideally scikit-learn, TensorFlow, and PyTorch.
  • Understanding of software architecture, data platforms, RESTful APIs, messaging, and streaming for enterprise AI integration.
  • Strong experience with cloud services and AI/ML offerings on at least one of Azure, AWS, or GCP.
  • Knowledge of sovereign and on-premise AI platforms, open-source foundation models, self-hosted LLMs, and related data sovereignty, security, and compliance considerations.
  • Knowledge of CI/CD, DevOps, automation, agile methods, automated testing, and code quality practices.
  • Demonstrated ability to lead client engagements, shape AI roadmaps, support pre-sales, and prepare proposals and tender responses.
  • Experience mentoring and coaching data scientists and ML engineers.
  • Excellent communication and stakeholder management skills, including engagement with technical and business audiences up to C-level.
  • Fluent in French and English.

Benefits

  • Stimulating and professional working environment in a dynamic team with extensive expertise.
  • Exciting projects and challenging problems using the latest technologies.
  • Flat organizational hierarchies and cross-functional teamwork.
  • Close contact with customers across diverse industries.
  • Supportive culture with opportunities for professional and personal development.

Tech Stack

AWSAzureGoogle Cloud PlatformMLflowPyTorchscikit-learnTensorFlow
Evangelical Lutheran Church in America

About Evangelical Lutheran Church in America

1,001-5,000 employees

The Evangelical Lutheran Church in America is a U.S. Christian denomination that coordinates churchwide programs, theological resources, and ministries for congregations, synods, and partners. Founded in 1988 and headquartered in Chicago, it serves about 3.3 million members in more than 9,000 worshiping communities across all 50 states and the Caribbean, funded primarily by congregational benevolence, donations, and endowments, and operating initiatives in leadership development, education, disaster response, and global mission.

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