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Head of Engineering
Neurons LabDaerah Khusus Ibukota Jakarta, Jawa, Indonesia23 hari yang lalu
Uraian TugasTalent & 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 to execute autonomously and at speed Implement a skills-matrix and personalised growth plans; coach next-generation tech leads Make promotion decisions based on objective performance reviews Promote a culture of continuous learning (regular "Agentic AI dojo", conference sponsorships, internal certifications) Provide technical oversight through senior AI Architects across client engagements; sign off on architecture and go-live readiness 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 Maintain reference architectures and reusable component libraries; achieve ≥75% code reuse across all new work Convert learnings from services projects into IP to reduce 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 from 15 to 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
Head of Engineering – Neurons Lab
Role to lead, scale, and reinvent an AI-native engineering function delivering agentic solutions for financial services clients and for Neurons Lab’s product portfolio.
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. Deliver resilient, production-grade agentic AI systems across client work and the company’s product portfolio for global financial-services institutions (banking, insurance, investment management), spanning use-cases such as customer support agents, internal productivity assistants, and documents workflow automation.
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
- 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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Head Of Engineering • Daerah Khusus Ibukota Jakarta, Jawa, Indonesia
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