Manager IA F/H

Dormont Manufacturing Co; Neuilly-sur-Seine; Sur place; EUR 80 000 - 110 000; Plein temps

Avantages offerts par ce poste

Structured career path

Access to cutting-edge AI stack

Positive, inclusive workspace

Résumé du poste

Dormont Manufacturing Co is looking for a ManagerIA to spearhead high-value AI and data initiatives within PwC’s IA & Data practice. You will lead clients from strategy to industrialization while building robust AI capabilities.

Your responsibilities include setting direction for AI projects, designing impactful solutions, and managing a team. The ideal candidate will have a strong background in machine learning, NLP, deep learning, and cloud delivery. Proficiency in both French and English is essential.

Qualifications

• Minimum 6 years of experience in data/AI including consulting.
• Proven track record on AI projects from PoC to production.
• Fluent in French and English with excellent writing skills.

Responsabilités

• Set direction and define priority use cases for AI.
• Design and deliver impactful AI solutions.
• Implement best practices for MLOps.
• Coach and grow the AI team.
• Support business growth through client relationships.

Connaissances

Machine Learning

NLP

Deep Learning

Cloud delivery knowledge (Azure, AWS, GCP)

CI/CD

Docker

Kubernetes

Stakeholder engagement

Formation

Higher education in engineering, mathematics/statistics or data/AI

Outils

LangChain

HuggingFace

OpenTelemetry

Description du poste

Brief Overview

We seek a ManagerIA to lead high‑value AI & data initiatives within PwC’s IA & Data practice, steering clients from strategy to industrialisation and building our AI capabilities.

Key Responsibilities

1. Set direction and decision framework: define priority use cases, build business cases, run workshops with stakeholders, recommend suitable AI approaches and prerequisites.
2. Design and deliver impactful solutions: pilot projects from PoC/PoV to production, oversee functional and technical design, enforce product‑centric delivery.
3. Industrialise for production: implement MLOps/LLMOps best practices, drive Responsible AI governance, secure data and privacy compliance.
4. Manage and grow the team: coach consultants and engineers, contribute to community development.
5. Grow the business: support pre‑sales, maintain client relationships, identify new opportunities and influence the AI road‑map.

Core Competencies

• Machine Learning, NLP, Deep Learning proficiency and production experience.
• Strong understanding of LLMs, RAG, agents, search‑augmentation and vector databases.
• Experience with evaluation and monitoring, orchestration frameworks (LangChain, LangFuse, Camunda), embeddings, HuggingFace, and OpenTelemetry.
• Cloud delivery knowledge of Azure, AWS, GCP; CI/CD, Docker, Kubernetes or managed services.
• Consulting skills: problem framing, recommendation, executive deliverables, stakeholder engagement, workshop facilitation.

Required Profile

• Higher education in engineering, university, mathematics/statistics or data/AI.
• Minimum 6 years of experience in data/AI, including consulting or corporate delivery.
• Concrete achievements on AI projects from PoC to production and autonomy in delivery.
• Management experience and commercial contribution.
• Fluent French and English with excellent written synthesis.

What PwC Offers

• High‑impact missions with executives, across varied sectors.
• Structured career path, expert community, and continuous learning culture.
• Access to cutting‑edge AI stack with over 100 commercial LLMs/SLMs.
• Influence on Responsible AI and AI accelerator offerings.
• Innovative technology environment, TechLab, Copilot M365, and AI Factory.
• Robust learning platforms and performance cycles aligned with PwC Professional.
• Positive, inclusive workspace supporting full authenticity, parental programmes, equity, health & well‑being, LGBT+ inclusion, and disability inclusion.