Platform Architect - Paris France

Neev; Paris; Presencial; EUR 140.000 - 180.000; Jornada completa

Descripción de la vacante

Neev in Paris, France is seeking a highly experienced AI Platform Architect to lead enterprise-scale AI, ML, and Generative AI platform design and evolution. You will define scalable, secure AI architectures for data-driven innovation and digital transformation, collaborating with data scientists, engineers, and cloud specialists.

Responsibilities include shaping roadmaps, promoting MLOps, LLMOps, IaC, and governance standards, while ensuring security and reliability across cloud, hybrid, and

Formación

• Bachelor's or Master's degree in Computer Science, AI, Data Science, Engineering, Information Technology, or related field.
• 10+ years of IT experience, including at least 5 years in AI/ Platform architecture roles.
• Proven experience designing enterprise‑scale AI and data platforms.

Responsabilidades

• Define and own the enterprise AI platform architecture strategy and roadmap.
• Design and implement scalable AI/ML and Generative AI platforms across cloud, hybrid, and on-premises environments.
• Lead architecture initiatives supporting AI transformation, MLOps, LLMOps, automation, and platform engineering.
• Collaborate with stakeholders to translate AI use cases into scalable technical solutions.
• Establish and enforce AI architecture standards, governance, and best practices.
• Design AI solution architectures including LLMs, RAG, Vector DBs, Knowledge Management platforms.
• Drive integration strategies across AI platforms, data platforms, APIs, cloud services, enterprise apps.
• Ensure AI solutions meet security, compliance, scalability, performance, and reliability.
• Lead architecture reviews and provide technical leadership throughout lifecycles.
• Define MLOps, LLMOps, CI/CD, IaC, observability, and automation standards.
• Evaluate emerging AI technologies and recommend solutions aligned with goals.
• Partner with security and governance teams for Responsible AI compliance.
• Mentor engineering and data teams while promoting AI engineering excellence.

Conocimientos

Leadership

Stakeholder management

Communication

Problem solving

Agile delivery

LLMs / NLP knowledge

Cloud architecture

Educación

Bachelor's or Master's degree in Computer Science, AI, Data Science, Engineering, IT

Herramientas

Azure

AWS

Google Cloud

Terraform

Docker

Kubernetes

Databricks

OpenShift

Descripción del empleo

We are seeking a highly experienced AI Platform Architect to join our team in France and lead the design, implementation, and evolution of enterprise-scale AI, Machine Learning, and Generative AI platforms. The ideal candidate will be responsible for defining scalable, secure, resilient, and cloud-native AI architectures that enable data-driven innovation, AI adoption, and digital transformation initiatives.

The AI Platform Architect will collaborate with business stakeholders, data scientists, AI engineers, platform teams, cloud specialists, security teams, and third‑party vendors to establish AI technology roadmaps, architecture standards, and best practices for AI platform engineering.

Key Responsibilities

• Define and own the enterprise AI platform architecture strategy and roadmap aligned with business objectives.
• Design and implement scalable AI/ML and Generative AI platforms across cloud, hybrid, and on-premises environments.
• Lead architecture initiatives supporting AI transformation, MLOps, LLMOps, automation, and platform engineering.
• Collaborate with business and technical stakeholders to translate AI use cases into scalable technical solutions.
• Establish and enforce AI architecture standards, governance frameworks, and best practices.
• Design and implement AI solution architectures including LLMs, RAG frameworks, Vector Databases, Knowledge Management platforms, and Intelligent Automation solutions.
• Drive integration strategies across AI platforms, data platforms, APIs, cloud services, and enterprise applications.
• Ensure AI solutions meet security, compliance, scalability, performance, and reliability requirements.
• Lead architecture reviews and provide technical leadership throughout AI project lifecycles.
• Define and promote MLOps, LLMOps, CI/CD, Infrastructure-as-Code (IaC), observability, monitoring, and AI platform automation standards.
• Evaluate emerging AI technologies and recommend innovative solutions aligned with business goals.
• Partner with security, governance, and risk teams to ensure Responsible AI and regulatory compliance.
• Mentor engineering and data teams while promoting AI engineering excellence and innovation.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Information Technology, or a related field.
• 10+ years of IT experience, including at least 5 years in AI Architecture, Data Architecture, Platform Architecture, or Cloud Architecture roles.
• Proven experience designing and implementing enterprise‑scale AI and data platforms.
• Strong expertise in cloud technologies, preferably Microsoft Azure, AWS, or Google Cloud Platform.
• Hands‑on experience with Azure AI Services, Azure OpenAI, Databricks, AWS AI/ML, Vertex AI, or similar AI platforms.
• Strong understanding of Machine Learning, Generative AI, Large Language Models (LLMs), NLP, RAG architectures, Vector Databases, and AI application frameworks.
• Experience with containerization and orchestration technologies such as Docker, Kubernetes, or OpenShift.
• Strong knowledge of microservices architecture, API management, event‑driven architectures, and distributed systems.
• Experience with DevOps, MLOps, LLMOps, CI/CD pipelines, Infrastructure‑as‑Code, and automation frameworks.
• Proficiency with Terraform, Ansible, Azure DevOps, GitHub, GitLab, Jenkins, or similar technologies.
• Strong understanding of data governance, AI governance, platform security, identity management, and compliance requirements.
• Experience with monitoring, observability, model performance monitoring, and AI operational platforms.
• Excellent communication, leadership, and stakeholder management skills.
• Ability to engage with both technical teams and senior business stakeholders.

Preferred Qualifications

• Experience within Banking, Financial Services, Insurance, or other regulated industries.
• Cloud certifications such as Azure Solutions Architect Expert, Azure AI Engineer Associate, AWS Solutions Architect Professional, or Google Professional Cloud Architect.
• TOGAF, SAFe, or equivalent architecture certifications.
• Experience with Platform Engineering, Internal Developer Platforms (IDP), and AI Platform Engineering.
• Hands‑on experience designing and deploying GenAI solutions including Copilots, Chatbots, Virtual Assistants, and Knowledge Management platforms.
• Knowledge of Responsible AI, AI Risk Management, Model Governance, and AI Security frameworks.
• Familiarity with Zero Trust Security, FinOps, and Site Reliability Engineering (SRE) principles.
• Experience working in Agile and product‑centric delivery environments.