Head of Engineering

2 days ago

Singapore Neurons Lab Full time

**About the Project** Lead, scale, and continuously reinvent an **AI‑native engineering organisation** by empowering a high‑leverage team of AI architects and engineers **and automating repeatable engineering workflows with autonomous AI agents**, that turns breakthrough ideas into resilient, production‑grade agentic AI systems across both client work and the company’s own product portfolio **for global financial‑services institutions (banking, insurance, investment management) -**spanning use‑cases customer support agents, internal productivity assistants, documents workflow automation and others - compounding revenue, IP leverage, and long‑term strategic advantage. ***Objective & KPIs**: Build a self‑sustaining AI‑native engineering function that delivers high‑quality, compliant, and reusable agentic solutions for FSI clients while maximising automation and team leverage. KPIs: - Mean lead‑time from prototype commit to production** 5 days**.- **50 %** internal engineering workflows fully automated by autonomous AI agents (baseline FY‑2025 audit).- **75 %** code/component reuse across new projects. - Production model accuracy** 90 %**, latency ** 40 %. - ** Own the design, packaging, and optimisation of Neurons Lab solutions** ***Skills**: - AI‑native software engineering & agentic architectures - MLOps automation and observability - Large‑scale AWS (SageMaker, Bedrock, EKS) optimisation - Regulatory & security compliance for FSI - Organisational design and talent development - KPI‑driven process improvement - Strategic thinking & systems‑level problem‑solving ***Knowledge**: - Core‑banking, insurance, and asset‑management data flows & systems - LLM orchestration patterns and prompt engineering best practices - Foundations of traditional machine learning and ML models training from scratch - Financial‑services regulatory frameworks - AWS Marketplace packaging and Advanced‑Tier Partner requirements - Code‑quality measurement (e.g., Codacy) and secure SDLC principles ***Experience**: - Led AI/ML engineering teams **15 50 +** in FSI domain while maintaining velocity - Delivered production agentic AI systems with** 90 % accuracy & < 5 s latency** - Deployed autonomous AI agents that automated** 40 %** of engineering/business processes - Established, maintained and improved engineering standards and quality measures

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