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Head of Engineering
Neurons LabKuala Lumpur, Kuala Lumpur, Malaysia30+ days ago
Job descriptionTalent & Capability Building Hire, onboard, and retain AI Architects and AI engineers Empower AI architects and engineers with clear decision rights, context, and AI‑native tooling so they can execute autonomously and at speed. Implement a skills‑matrix and personalised growth plans; coach next‑generation tech leads. Make decisions on promotion based on performance reviews anchored in objective contribution metrics. Promote a culture of continuous learning (regular Agentic AI dojo, conference sponsorships, internal certifications). Provide technical oversight through senior AI Architects across all client engagements; sign off on architecture and go‑live readiness while mentoring them to own delivery. Staff projects with the right talent mix; optimise utilisation of core team members Engineering Excellence & AI‑Native Quality Update, automate, and collect AI engineering health indicators via a fully instrumented MLOps telemetry stack (CI / CD, feature store, observability, drift alerts). Establish and iterate the AI‑native SDLC : LLM‑assisted coding & test generation, agentic design patterns, self‑healing pipelines, prompt‑ops, red‑teaming, security & compliance Orchestrate autonomous AI agents to automate internal engineering and business routines such as environment provisioning, compliance evidence capture, cost optimisation, and status reporting. Maintain reference architectures and reusable component libraries; achieve ≥75% code reuse across all new work. Convert learnings from services projects into IP that reduces future build effort by > Own the design, packaging, and optimisation of Neurons Lab solutions 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 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 Led AI / ML engineering teams 15 → 50+ in FSI domain while maintaining velocity Delivered production agentic AI systems with ≥ 90 % accuracy and Deployed autonomous AI agents that automated ≥ 40 % of engineering / business processes Established, maintained and improved engineering standards and quality measures Executive Full-time Engineering and Information Technology IT Services and IT Consulting
Overview
Neurons Lab Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
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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 such as customer support agents, internal productivity assistants, documents workflow automation, and others.
Objective & KPIs
Build a self‑sustaining AI‑native engineering function that delivers high‑quality, compliant, and reusable agentic solutions for FSI clients while maximizing 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
- Maintain 0.375-0.5 FTE as billable hours allocation at the client’s projects.
Areas of Responsibility
40 %.
Skills
Knowledge
Experience
Seniority level
Employment type
Job function
Industries
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Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
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Head Of Engineering • Kuala Lumpur, Kuala Lumpur, Malaysia
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