Tessero
Enterprise Architect
Skills
1 month ago
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Important information
Contract type:
Freelance / Contract
Location:
Prague, Czechia
Work mode:
Onsite
Published on:
24 September 2026
What they need
Role Overview:
For our client, a global leader in the logistics and supply chain technology sector, we are currently seeking a Technical Consultant / Enterprise AI Architect to support the evolution of a strategic enterprise AI platform in the Prague region .
This role combines enterprise architecture, cloud architecture, AI platform engineering, and stakeholder consulting. You will be responsible for defining and governing the architecture of a next-generation Agentic AI platform built on Google Cloud technologies, enabling business units to deliver secure, scalable, and enterprise-grade AI solutions.
This is an ideal opportunity for a senior architect who combines hands-on technical expertise with the ability to influence stakeholders, define technology strategy, and drive AI adoption across a large international organization.
Key Responsibilities:
Enterprise Architecture and Strategy:
- Define and maintain the target architecture and long-term roadmap for the enterprise AI platform
- Assess existing architectures and design future-state solutions aligned with business objectives
- Develop reference architectures, standards, design patterns, and governance frameworks
- Conduct architecture reviews and provide technical oversight across AI initiatives
AI Solution Architecture:
- Design enterprise-scale AI solutions utilizing modern Agentic AI and cloud-native technologies
- Define architecture standards for integration, security, scalability, observability, and platform operations
- Evaluate emerging technologies and recommend architectural improvements
- Ensure AI solutions align with enterprise governance, compliance, and risk requirements
Stakeholder and Delivery Support:
- Lead architecture workshops and technical discussions with business and technology stakeholders
- Support delivery teams with technical guidance, best practices, and solution reviews
- Collaborate with enterprise architects, engineering teams, and business leaders
- Drive alignment between business requirements and platform capabilities
What Will You Need To Succeed:
- 5+ years in Enterprise Architecture, Cloud Architecture, or AI Engineering
- Strong Google Cloud Platform knowledge
- Experience with GEAP, Vertex AI, Gemini, ADK, or similar platforms
- Knowledge of Agentic AI, LLMs, multi-agent systems, and orchestration
- Experience with APIs, microservices, integration patterns, and security
- Strong stakeholder management and communication skills
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