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
Talent & Capability BuildingHire, onboard, and retain AI Architects and AI engineersEmpower AI architects and engineers with clear decision rights, context, and AI-native tooling to execute autonomously and at speedImplement a skills-matrix and personalised growth plans; coach next-generation tech leadsMake promotion decisions based on objective performance reviewsPromote 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 readinessStaff projects with the right talent mix; optimise utilisation of core team membersEngineering Excellence & AI-Native QualityUpdate, 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 & complianceOrchestrate autonomous AI agents to automate internal engineering and business routinesMaintain reference architectures and reusable component libraries; achieve ≥75% code reuse across all new workConvert learnings from services projects into IP to reduce future build effort by >40%
Own the design, packaging, and optimisation of Neurons Lab solutionsSkills
AI-native software engineering & agentic architecturesMLOps automation and observabilityLarge-scale AWS (SageMaker, Bedrock, EKS) optimisationRegulatory & security compliance for FSIOrganisational design and talent developmentKPI-driven process improvementStrategic thinking & systems-level problem-solvingKnowledge
Core-banking, insurance, and asset-management data flows & systemsLLM orchestration patterns and prompt engineering best practicesFoundations of traditional machine learning and ML models training from scratchFinancial-services regulatory frameworksAWS Marketplace packaging and Advanced-Tier Partner requirementsCode-quality measurement (e.g., Codacy) and secure SDLC principlesExperience
Led AI / ML engineering teams from 15 to 50+ in FSI domain while maintaining velocityDelivered production agentic AI systems with ≥ 90% accuracy andDeployed autonomous AI agents that automated ≥ 40% of engineering / business processesEstablished, maintained and improved engineering standards and quality measuresSeniority level
ExecutiveEmployment type
Full-timeJob function
Engineering and Information TechnologyIndustries
IT Services and IT ConsultingReferrals may increase your chances of interviewing at Neurons Lab by 2x
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