Neurons Lab is hiring a Head of Engineering to lead, scale, and continuously reinvent our AI‑native engineering organisation. You will build a self‑sustaining function that delivers high‑quality, compliant, and reusable agentic solutions for financial services clients while maximising automation and team leverage.

What You'll Do

Hire, onboard, and retain A‑player AI Architects and AI engineers.
Empower AI architects and engineers with clear decision rights, context, and AI‑native tooling for autonomous execution.
Implement a skills‑matrix and personalised growth plans; coach next‑generation tech leads.
Make promotion decisions based on performance reviews anchored in objective contribution metrics.
Promote a culture of continuous learning through regular 'Agentic AI dojo' sessions, conference sponsorships, and internal certifications.
Provide technical oversight through senior AI Architects across all client engagements; sign off on architecture and go‑live readiness.
Staff projects with the right talent mix; optimise utilisation of core team members.
Update, automate, and collect AI engineering health indicators via a fully instrumented MLOps telemetry stack.
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 that reduces future build effort by > 40%.
Own the design, packaging, and optimisation of Neurons Lab solutions.

What We're Looking For

Expertise in AI‑native software engineering & agentic architectures.
Expertise in MLOps automation and observability.
Expertise in large‑scale AWS optimisation (SageMaker, Bedrock, EKS).
Expertise in regulatory & security compliance for Financial Services Institutions (FSI).
Expertise in organisational design and talent development.
Expertise in KPI‑driven process improvement.
Strong strategic thinking & systems‑level problem‑solving skills.
Knowledge of core‑banking, insurance, and asset‑management data flows & systems.
Knowledge of LLM orchestration patterns and prompt engineering best practices.
Knowledge of foundations of traditional machine learning and ML models training from scratch.
Knowledge of financial‑services regulatory frameworks.
Knowledge of AWS Marketplace packaging and Advanced‑Tier Partner requirements.
Knowledge of code‑quality measurement and secure SDLC principles.
Experience leading AI/ML engineering teams from 15 to 50+ in the FSI domain while maintaining velocity.
Experience delivering production agentic AI systems with ≥ 90% accuracy & < 5s latency.
Experience deploying autonomous AI agents that automated ≥ 40% of engineering/business processes.
Experience establishing, maintaining and improving engineering standards and quality measures.