AI Architect

RISKDATA CONSULTING PTE. LTD.

Singapore
Not specified
Agentic ai system architecture
Rag and multi-agent orchestration
Vector database and knowledge graphs
RISKDATA CONSULTING PTE. LTD. is seeking an experienced AI Architect to design and implement advanced AI systems, focusing on Agentic AI frameworks and scalable AI infrastructure. The ideal candidate will have extensive experience in AI architecture and enterprise-scale solutions, with a strong background in distributed systems and data processing

Job Summary

  • The role requires designing reusable patterns for Agentic AI systems including RAG, Multi-Agent Orchestration, and Human-in-the-loop architectures.
  • Candidates must architect scalable AI infrastructure with distributed systems support and define MLOps and CI/CD pipelines for production environments.
  • This position demands deep expertise in modern data platforms using Medallion architecture, Delta tables, and streaming ingestion via Kafka.

Matching Summary

Match Score: 85

RISKDATA CONSULTING PTE. LTD. is seeking an experienced AI Architect to design and implement advanced AI systems, focusing on Agentic AI frameworks and scalable AI infrastructure. The ideal candidate will have extensive experience in AI architecture and enterprise-scale solutions, with a strong background in distributed systems and data processing.

Skills & Requirements

Must-have

  • Agentic AI system architecture
  • RAG and multi-agent orchestration
  • Vector database and knowledge graphs
  • MLOps and CI/CD pipeline design
  • LangChain and LlamaIndex frameworks
  • Databricks and Apache Spark engineering
  • Azure and AWS cloud infrastructure

Nice-to-have

  • Semantic caching for cost optimization
  • Explainability and auditability standards
  • Industrial telemetry forecasting
  • Air-gapped deployment experience
  • Graph-RAG implementation skills
  • Domain adaptation fine-tuning expertise

Key Requirements

  • 15+ years in Data, AI, and Platform Engineering
  • 5+ years in AI Architecture leadership role
  • Proven delivery of enterprise-scale AI platforms
  • Strong background in distributed systems
  • Experience in industrial or engineering AI ecosystems

Work Rights

Not specified

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