Deloitte
Deloitte
Deloitte is a global professional services firm operating across consulting, financial advisory, and technology, media and telecommunications. Its work includes audit, tax, advisory, and consulting services that help organizations address complex business challenges, transform operations, and make informed decisions. Deloitte’s company profile also highlights innovation, sustainable practices, inclusion, diversity, and collaboration as important parts of its working environment.

AI Architect at Deloitte - Madrid (Hybrid)

AI Architect at Deloitte designing enterprise AI infrastructure with Microsoft Azure and Databricks. The role leads MLOps, security, and scalable AI platform architecture in Madrid.

Description

  • Design the target architecture for the enterprise AI platform
  • Define technology components for AI, GenAI, and intelligent-agent use cases
  • Establish reference architectures for development, testing, and production
  • Integrate AI solutions with existing corporate systems
  • Design and evolve Microsoft Azure-based architectures
  • Define data and AI platform patterns using Azure and Databricks
  • Design batch, streaming, and real-time processing solutions
  • Ensure scalability and cost efficiency
  • Define MLOps, LLMOps, and AgentOps capabilities
  • Design pipelines for model training, deployment, monitoring, and governance
  • Set standards for observability and model lifecycle management
  • Collaborate with Data Science, AI Engineering, and DevOps teams
  • Define secure architectures for models and data
  • Ensure compliance with cybersecurity, privacy, and data governance standards
  • Design access controls, encryption, auditing, and traceability mechanisms
  • Advance Responsible AI and AI Governance practices
  • Serve as the architectural authority for strategic AI programs
  • Lead architecture reviews and technology decisions
  • Assess emerging technologies and platforms
  • Support presales, offer development, and technology roadmaps
  • Build and evolve the Enterprise AI Infrastructure Layer

Requirements

  • More than five years of experience in technology and cloud architecture
  • Demonstrable experience with Microsoft Azure
  • Advanced knowledge of Databricks
  • Experience with enterprise data and analytics platforms
  • Knowledge of distributed architectures, APIs, and microservices
  • Experience with DevOps, CI/CD, and Infrastructure as Code using Terraform, Bicep, or equivalent tools
  • Knowledge of cloud security and integration with corporate environments
  • Experience with Azure OpenAI, AI Foundry, Cognitive Services, and generative AI services
  • Experience designing RAG architectures, AI agents, and multi-agent systems
  • Knowledge of Kubernetes and containerized environments
  • Experience with MLOps, LLMOps, and model governance
  • Microsoft Azure Architect or Databricks certifications
  • Strategic perspective and end-to-end design capability
  • Architectural thinking with a focus on standards
  • Technical leadership and influence across multidisciplinary teams
  • Ability to explain complex concepts to technical and business audiences
  • Results-oriented approach and commitment to continuous improvement
  • Ability to work in complex technology transformation environments

Benefits

  • High-impact projects with opportunities to learn
  • Flexible working hours
  • Flexible hybrid model combining remote work with office or client-site work
  • Annual team-building events
  • Cultural and sports activities
  • Physical, mental, and financial wellbeing program
  • Medical team at the offices
  • National and international volunteering opportunities
  • Pro bono projects
  • Feedback-driven culture with continuous learning
  • Personalized training plan
  • Exclusive benefits and flexible compensation plan

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