Our customer is building a next-generation AI platform that enables organizations to securely develop, govern, and operationalize artificial intelligence while ensuring that sensitive data and organizational knowledge remain fully under their control. The platform combines advanced AI capabilities with enterprise-grade governance, security, and data sovereignty to support mission-critical decision-making.
The solution serves government organizations and enterprise customers operating in highly regulated and security-sensitive environments, where reliability, accountability, and trust are essential. The platform supports intelligent decision-making across strategic planning, workforce intelligence, and organizational operations, helping customers leverage AI without compromising security, compliance, or control over their data.
REQUIREMENTS
- 8+ years of experience designing enterprise data or AI platforms
- Strong experience with cloud-native data architectures
- Experience building AI-enabled data platforms
- Exposure to Knowledge Graphs, Digital Twin platforms, or semantic technologies
- Strong understanding of distributed systems and data integration
- Experience with Azure, AWS or GCP
- Familiarity with modern AI ecosystems including LLMs and Retrieval-Augmented Generation (RAG)
- Experience defining architecture roadmaps and technical strategy
- Excellent client-facing communication skills
- Upper-Intermediate or higher level of English
RESPONSIBILITIES
- Design end-to-end AI and data platform architecture
- Define platform capabilities supporting Digital Twin and Knowledge Graph solutions
- Collaborate with AI, data engineering, and infrastructure teams
- Lead architecture discussions with client stakeholders
- Define scalable cloud-native platform patterns
- Evaluate emerging AI technologies and recommend architecture improvements
- Produce technical architecture documentation
- Support solution discovery and roadmap planning
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