projectSuccessfully occupied
Rate
120 000 CZK - 160 000 CZK
/
month
Form of cooperation
Full-time / 20% Remote
Sector
Healthcare and Pharmacy
Location
Praha
The reward is calculated upon delivery of 20 MD per month (1MD=8h)
Project duration
5 months with possibility of extension
Period of cooperation
10.08.2026
- 10.01.2027
Start date
10.08.2026 or by agreement
Project duration
5 months with possibility of extension
Period of cooperation
10.08.2026
- 10.01.2027
Start date
10.08.2026 or by agreement
Technology
- AWS Amazon Web Services
- Kubernetes
- Agentic AI
- Vector Databases
Languages
-
English
-
active, B2/C1/C2
Project description
- design and development of an enterprise AI platform on AWS
- defining cloud and solution architecture for AI solutions
- design of secure, scalable, and cloud-native infrastructure
- architecture of AI services utilizing Amazon Bedrock
- design of AI infrastructure including GPU environments and vector databases
- governance of a Kubernetes platform built on Amazon EKS
- design of batch and real-time integration solutions across enterprise systems
- modernization of existing applications and their transformation into a cloud environment
- setting architectural standards in security, observability, and FinOps
- collaboration with architects, delivery teams, and technology partners across the organization
- support for the adoption of modern AI technologies and Agentic AI
Project requirements
- extensive experience with
- AWS cloud architecture
- enterprise solution architecture
- designing cloud-native solutions
- batch and real-time integrations
- modernizing enterprise applications
- Amazon Bedrock
- Amazon EKS
- security architecture
- observability
- FinOps
- experience with
- AI and GenAI platforms
- vector databases
- GPU infrastructure
- designing solutions in complex multi-system environments
- technical coordination across multiple teams and vendors
- pharmaceutical environments
- advanced knowledge of
- enterprise architecture principles
- cloud governance
- integration architecture
- AWS ecosystem
- knowledge of
- Kubernetes
- modern AI services in AWS
- scalability and high availability principles
- advantageous
- experience with Veeva
- experience with Salesforce
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