Head of Ai

3 days ago

Singapore RED ALPHA CYBERSECURITY PTE. LTD. Full time

Define and execute the end-to-end AI strategy: opportunity selection, model development, secure MLOps, AI governance, and client delivery. Build scalable, compliant, and trustworthy AI systems for consulting engagements and internal products.

**Key responsibilities**

- Own AI strategy and portfolio: identify high-ROI use cases, size value, and set the platform roadmap.
- Lead cross-functional AI teams spanning research, engineering, MLOps, evaluation, and model risk.
- Establish an AI management system aligned to ISO/IEC 42001, including policies, risk controls, and continuous improvement.
- Implement AI governance and testing practices aligned to Singapore’s AI Verify and Model AI Governance Framework for Generative AI, including safety, robustness, bias, and toxicity testing.
- Ensure PDPA-compliant data lifecycle management, privacy-by-design, and data minimization across training and inference.
- Build secure MLOps: model registry, lineage, monitoring, rollback, and vulnerability management for AI assets.
- Define model evaluation protocols and acceptance criteria per use case, including human-in-the-loop.
- For financial-sector clients, align development and deployment with MAS FEAT principles and the Veritas toolkit.
- Drive client delivery: scoping, solution architecture, delivery oversight, and pre-sales support.
- Build partnerships with hyperscalers, universities, and model providers.
- Publish internal standards for prompt engineering, RAG patterns, safety rails, and evaluation.

**Requirements**:

- 8 to 12+ years across data science and ML engineering, 4+ years in AI leadership.
- Production experience with LLMs and classical ML, vector stores, RAG, and guardrails.
- Demonstrated setup of MLOps on cloud platforms and secure deployment patterns.
- Working knowledge of Singapore AI governance, PDPA, and international AI assurance standards.

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