AI Expert

ELCA Group; Pully; Vor Ort; CHF 150.000 - 230.000; Vollzeit

Benefits dieser Stelle

Professional environment

Challenging projects

Flat hierarchical culture

Customer exposure

Personal development opportunities

Zusammenfassung

ELCA Group is seeking a technical lead for Generative AI and AI/ML initiatives. You will architect GenAI solutions, guide engineering teams, and coach staff across the GenAI lifecycle from problem framing to production deployment and monitoring.

You will deliver strategic GenAI consulting to clients, shaping roadmaps, risks, and decisions, while driving pre-sales activities and tender responses to expand ELCA’s AI practice. Mentoring and group-wide thought leadership will be central to the role.

Qualifikationen

• 8+ years of AI experience with GenAI/LLM solutions and end-to-end project leadership.
• Proven track record in production-grade GenAI deployments.
• Strong experience with LLM integration, RAG pipelines, and agentic architectures.
• Knowledge of GenAI ecosystems (LangChain, LlamaIndex, Hugging Face).
• Experience with Cloud AI offerings (Azure, AWS, GCP) and on-prem sovereign platforms.

Aufgaben

• Lead end-to-end GenAI projects from business case to production.
• Provide strategic GenAI consulting and advisory on roadmaps to clients.
• Mentor junior and senior data scientists and ML engineers.
• Lead pre-sales and tender responses to grow ELCA AI practice.

Kenntnisse

GenAI leadership

LLM-based solutions

Problem framing

Project management

Client engagement

Pre-sales support

Mentoring

Communication

Stakeholder management

French & English fluency

Tools

LangChain

LlamaIndex

Hugging Face

vector databases

REST APIs

Jobbeschreibung

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