AI Expert / GenAI

ELCA Informatique SA; Pully; Vor Ort; CHF 160.000 - 230.000; Vollzeit

Zusammenfassung

ELCA Informatique SA in Switzerland seeks a technical lead for Generative AI and AI/ML projects. You will guide end-to-end GenAI initiatives from business case to production, serving as architect and coach for the engineering team.

You will drive pre-sales, engage with clients, shape AI roadmaps, ensure governance and data sovereignty, mentor staff, and advance ELCA’s sovereign AI practice with cutting-edge tooling.

Qualifikationen

• 8+ years in AI with a focus on Generative AI / LLMs, leading end-to-end GenAI projects.
• Hands-on experience architecting and delivering production-grade GenAI solutions.
• Strong knowledge of GenAI/LLM ecosystems and frameworks.
• Solid understanding of software architecture and data integration for enterprise environments.
• Fluent in French and English; capable of engaging C-level and technical audiences.

Aufgaben

• Take technical lead on end-to-end GenAI and AI/ML projects from business case to production.
• Architect GenAI solutions, guide teams, and ensure high-quality delivery.
• Provide strategic GenAI consulting to clients, shaping roadmaps and risk considerations.
• Lead offers, pre-sales activities, and responses to tenders to grow ELCA’s AI practice.
• Mentor junior and senior data scientists and ML/GenAI engineers; drive knowledge sharing.

Kenntnisse

GenAI Leadership

LLM Integration

RAG Pipelines

Prompt Engineering

MLOps

Cloud Platforms

Client Engagement

Team Mentoring

Tools

LangChain

HuggingFace

Vector DBs

MLflow

TensorFlow

PyTorch

Jobbeschreibung

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