onsite
AI Ecosystem & Intelligence Platform Architect
Software Engineer
Architect a scalable AI ecosystem, orchestrating governance agents across cloud platforms, designing distributed systems, and integrating knowledge graphs to enable intelligent decision-making.
About the role
Key Responsibilities
- Design and implement a cloud‑native architecture for AI governance agents, ensuring high availability and fault tolerance.
- Develop distributed system components that enable real‑time data ingestion, processing, and model deployment across multiple regions.
- Integrate and maintain knowledge graph solutions to support semantic reasoning and knowledge discovery.
- Collaborate with data scientists and security teams to embed governance policies into the platform’s lifecycle.
- Lead performance tuning, monitoring, and cost optimization initiatives for the AI ecosystem.
Requirements
- Proven experience designing cloud architectures (AWS, Azure, or GCP) for AI workloads.
- Strong background in distributed systems, message queues, and microservices.
- Hands‑on expertise with knowledge graph technologies (Neo4j, RDF, SPARQL).
- Deep understanding of AI governance frameworks and policy enforcement.
- Excellent communication skills and ability to translate complex technical concepts to stakeholders.
Skills
software developmentsystem designproblem solving