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Chief AI Architecture Designer

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Singapore beBeeEnterprise Full time $120,000 - $180,000
Job Description">

We are seeking a seasoned Enterprise Architect to lead the architectural design and strategic implementation of scalable AI solutions across edge, cloud, and on-premises environments.

Key Responsibilities:
  • Provide pre-project technical consulting to estimate effort and assess feasibility for AI solutions.
  • Design and maintain scalable, flexible architecture frameworks supporting AI across multiple platforms.
  • Define technical standards, validation processes, and versioning protocols for AI services and algorithms.
  • Ensure effective interaction and interface design between AI microservices and non-AI components.
  • Develop self-service tools and governance models to enable AI capability across teams.
  • Lead technology scouting efforts to identify emerging AI trends and opportunities.
  • Drive cross-functional collaboration with infrastructure and shared services teams.
AI Engineering Services:
  • Provide technical leadership and governance to internal and external development teams.
  • Assist Product Owners in technical backlog creation and enabler definition.
  • Define and implement testing strategies, ensuring reliability and compliance with architectural standards.
  • Act as a technical advisor to the AI architect, contributing to planning and agile ceremonies.
  • Promote an agile, self-organizing culture within delivery teams.
  • Facilitate seamless integration with shared IT services and platforms.
  • Architecture framework documentation.
  • Technical consulting reports.
  • Microservice interface specifications.
  • Coding standards and efficiency improvement strategies.
  • Emerging technology scouting reports.
  • Development governance documentation.
  • Testing strategies and technical support documents.
  • Agile consultation records and integration plans.
Required Skills & Qualifications

10+ years of experience in enterprise architecture, with strong exposure to AI/ML systems.

Deep understanding of AI design patterns, ML algorithms (incl. generative models), and data processing for microservices.

Hands-on experience with big data technologies: PySpark, Kafka, Hadoop.

Strong expertise in Microsoft Azure (Azure ML, OpenAI, AKS).

Familiar with microservice architecture, DevOps practices, and MLOps frameworks.

Excellent communication skills and fluency in English.

Proven leadership in agile environments and cross-functional team coordination.

Strong problem-solving, analytical, and collaborative mindset.

Work Environment & Expectations

Hybrid work setup in Singapore.

Willingness to work second shift (CET) on Tuesday and Wednesday to collaborate with EMEA/US teams.

Occasional business travel as required.