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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.
विवरण
- 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
आवश्यकताएँ
- 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
लाभ
- 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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