AI Innovation Director

2 days ago

Singapore beBeeArchitecture Full time $90,000 - $120,000

Job Title: Chief AI Architect

Job Description

We are seeking a seasoned Architecture Professional to lead our AI-driven architecture initiatives.

This role requires defining and delivering scalable, high-performance architecture solutions for platforms and products.

Collaboration with cross-functional teams, driving key technical decisions, and mentoring team members while ensuring alignment with business objectives is essential.

Key Responsibilities:
  • Design and implement end-to-end architecture for AI-driven platforms, ensuring scalability, performance, and alignment with business goals.
  • Define 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.
  • Engage with multiple teams (Engineering, Data Science, Product) to drive unified architectural decisions and resolve complex, multi-team challenges.
  • Continuously evaluate and improve existing architecture frameworks to enhance efficiency and performance.
  • Lead, mentor, and upskill team members in best practices for technology architecture.
  • Stay updated with emerging AI/ML technologies, frameworks, and trends to drive innovation in AI and knowledge representation.
Required Skills & Qualifications

Advanced proficiency in architecture frameworks (TOGAF, Zachman, etc.), operational architecture, applications & technology architecture, AI/ML & knowledge representation, and proven experience in designing large-scale, distributed systems.

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.

Experience in mentoring teams and setting architectural best practices.

Preferred Qualifications

Experience with enterprise knowledge management systems, familiarity with AI/ML model deployment, and background in data architecture.

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