AI Architect
Company Description
Design scalable AI solutions that transform how teams work. At Deloitte.
Job Description
- define architectural standards and principles that support consistent, secure, and scalable solution delivery
- design scalable, intelligent systems using modern AI frameworks
- guide development teams throughout the solution lifecycle and support key technical and architectural decisions
- design solutions that use Agentic AI and LangGraph to enable autonomous, context-aware workflows
- apply a deep understanding of system design, cloud infrastructure, and AI-driven automation while balancing innovation with technical excellence.
Qualifications
Naturally you combine strategic thinking with hands-on technical leadership and communicate complex ideas clearly. But most importantly, be the true you. The one and only you. With your personal strengths, view of the world and unique personality. You need the following qualifications for the position of Architect, AI & Engineering:
- extensive experience designing and delivering scalable enterprise systems, including cloud-native solutions on Azure
- hands-on expertise with Azure DevOps, GitHub, CI/CD pipelines, deployment automation, and engineering governance
- strong knowledge of agentic AI concepts and frameworks, preferably including LangGraph and autonomous, context-aware workflow design
- the ability to align architecture with business goals, security, reliability, maintainability, and delivery constraints while influencing multidisciplinary teams.
Additional Information
As Architect you shape the technical foundation for intelligent solutions that can scale from proof of concept to reliable enterprise use. You translate strategic ambitions into clear architecture and practical standards, helping teams make sound decisions and deliver faster with confidence. By combining Azure cloud capabilities, strong engineering practices, and agentic AI, you enable secure automation and context-aware workflows that create measurable value. You also strengthen collaboration across disciplines, raise technical quality, and establish reusable patterns that support future innovation.
