Databricks AI Architect - GenAI & Lakehouse Leader

Capgemini; United Kingdom; Hybrid; GBP 90.000 - 140.000; Vollzeit

Benefits dieser Stelle

Hybrid working

Learning for life

Extensive training and certifications

Zusammenfassung

Capgemini in the United Kingdom is seeking a Data & AI Solution Architect to design and deliver intelligent data platforms and AI-native solutions, unlocking advanced analytics and autonomous decision-making at scale.

You will translate business strategy into governance-ready architectures, leading from data foundations to AI-driven outcomes within the Data Platforms team, leveraging Databricks Lakehouse, Azure AI, and cutting-edge agentic frameworks.

Qualifikationen

• Experience delivering modern data and AI platforms with governance.
• Ability to translate business requirements into practical data and AI architectures.

Aufgaben

• Design scalable, secure Databricks Lakehouse architectures for data, analytics, and AI.
• Lead GenAI and AI-assisted development to accelerate delivery.
• Build enterprise-grade data pipelines and AI workflows with reusable patterns.
• Embed GenAI capabilities including RAG and embeddings into data platforms.
• Design agentic workflows and orchestration for intelligent automation.
• Apply MLOps and LLMOps to ensure scalable, maintainable AI solutions.
• Monitor platform performance, cost, and model effectiveness.
• Collaborate with engineering, data, and business teams to deliver end-to-end solutions.

Kenntnisse

Databricks

Azure AI

GenAI

Data pipelines

MLOps

CI/CD

VS Code

GitHub Copilot

Governance

Tools

Databricks

Unity Catalog

MLflow

VS Code

GitHub Copilot

Jobbeschreibung

Capgemini in the United Kingdom is seeking a Data & AI Solution Architect to design and deliver intelligent data platforms and AI-native solutions, unlocking advanced analytics and autonomous decision-making at scale.

You will translate business strategy into governance-ready architectures, leading from data foundations to AI-driven outcomes within the Data Platforms team, leveraging Databricks Lakehouse, Azure AI, and cutting-edge agentic frameworks.