Global Enterprise AI Architect & MLOps Leader

Intellias; Viseu; Sur place; EUR 120 000 - 180 000; Plein temps

Résumé du poste

Intellias seeks a Principal AI/ML Architect & Applied AI Lead to design, develop, and operationalise enterprise‑scale AI systems across research and production environments. You will drive end‑to‑end AI initiatives with a hands‑on approach while mentoring engineering and data science teams to deliver impactful results.

The role requires strong leadership, deep technical expertise in Generative AI, NLP/NLU, MLOps, and cloud‑native architectures.

Qualifications

• 10+ years of experience in AI/ML, data science, or distributed systems engineering.
• Proven experience designing and deploying production‑grade AI solutions at enterprise scale.
• Strong background in both research and industrial AI environments.
• Experience leading global or distributed technical teams.
• Demonstrated success in delivering AI transformation initiatives.

Responsabilités

• Lead the design and implementation of AI/ML solutions across multiple business domains.
• Drive enterprise adoption of Large Language Models (LLMs), Generative AI, NLP/NLU, and advanced analytics solutions.
• Define AI architecture standards, MLOps best practices, and scalable deployment strategies.
• Evaluate emerging AI technologies and identify opportunities for innovation and operational impact.
• Translate research initiatives into production‑ready AI solutions.
• Architect scalable distributed data‑processing systems capable of handling large‑scale datasets and real‑time pipelines.
• Design and optimise cloud‑native AI platforms using modern data engineering frameworks.
• Lead cloud migration and modernisation initiatives from on‑premises environments to Azure and/or AWS.
• Implement efficient data pipelines leveraging Spark, Delta Lake, Databricks, Kubernetes, and containerised environments.
• Ensure reliability, scalability, observability, and cost‑efficiency of AI infrastructure.
• Design and implement enterprise‑grade chatbot and conversational AI platforms.
• Lead development of Retrieval‑Augmented Generation (RAG), agentic workflows, and LLM orchestration systems.
• Define governance, evaluation, and monitoring strategies for Gen AI systems.
• Collaborate with research teams to operationalise LLM‑based applications securely and responsibly.
• Lead cross‑functional teams composed of data scientists, ML engineers, software engineers, and business stakeholders.
• Mentor engineers and researchers in AI/ML best practices, architecture, and software engineering standards.
• Coordinate global AI initiatives across distributed teams and multiple geographies.
• Communicate technical concepts effectively to executive and non‑technical audiences.
• Support innovation programmes and AI adoption strategies across the organisation.

Connaissances

Generative AI systems

NLP / NLU

Distributed computing architectures

Streaming and batch processing

Python

Scala

MLOps frameworks

AI governance

Cloud cost optimization

Cross-functional leadership

Production AI deployment

Outils

Docker

Kubernetes

Databricks

Delta Lake

Spark

Infrastructure‑as‑Code

Description du poste

Intellias seeks a Principal AI/ML Architect & Applied AI Lead to design, develop, and operationalise enterprise‑scale AI systems across research and production environments. You will drive end‑to‑end AI initiatives with a hands‑on approach while mentoring engineering and data science teams to deliver impactful results.

The role requires strong leadership, deep technical expertise in Generative AI, NLP/NLU, MLOps, and cloud‑native architectures.