Chief Architectural Strategist

2 weeks ago


Singapore beBeeTechnologist Full time $80,000 - $120,000
Technology Visionary

You will play a pivotal role in shaping the organization's technology landscape.

As a Technology Visionary, you will design and implement end-to-end architecture for the Knowledge Layer to ensure scalability, performance, and alignment with business goals. Your expertise in designing large-scale, distributed systems will drive innovation in AAI and knowledge representation.

  • Design and implement end-to-end AAI architecture for the Knowledge Layer, ensuring seamless integration with existing systems.
  • Develop and deliver technology architecture for platforms, products, and engagements addressing performance, capability, and scalability needs.
  • Facilitate workshops, discussions, and reviews to gather requirements and ensure alignment with business and technical stakeholders.
  • Collaborate with multiple teams to drive unified architectural decisions and resolve complex challenges.
  • Evaluate and improve existing architecture frameworks to enhance efficiency and performance.
  • Lead, mentor, and upskill team members in best practices for technology architecture.

Required Skills & Qualifications:

  • Advanced Proficiency in Architecture Frameworks (TOGAF, Zachman, etc.)
  • Operational Architecture (scalability, reliability, observability)
  • Applications & Technology Architecture (microservices, cloud-native design, APIs)
  • Ai/ML & Knowledge Representation (ontologies, knowledge graphs, NLP)
  • Proven Experience in designing large-scale, distributed systems (preferably AI/ML-driven platforms)
  • Strong leadership skills with the ability to drive consensus among technical and non-technical stakeholders
  • Excellent problem-solving skills with a track record of solving cross-team architectural challenges

Preferred Qualifications:

  • Experience with enterprise knowledge management systems (e.g., semantic layers, graph databases)
  • Familiarity with AI/ML model deployment (MLOps, LLM orchestration)
  • Background in data architecture (data lakes, warehouses, ETL pipelines)


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