Head of AI Engineering

Join to apply for the Head of AI Engineering role at Neurons LabLead our AI engineering team to transfer systems for financial services. You’ll manage a team of AI architects and engineers while automating workflows with AI agents. We’re creating production‑ready AI solutions for banks, insurance companies, and investment firms—from customer support bots to document automation and productivity assistants.Objective & KPIsBuild 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.Develop PoCs in 2 weeks; develop production solutions in 2 months≥ 50 % internal engineering workflows fully automated by autonomous AI agents (baseline FY‑2025 audit)≥ 75 % code/component reuse across new projectsProduction model accuracy ≥ 90 %, latency Maintain 0.375–0.5 FTE as billable hours allocation at the client’s projectsAreas of ResponsibilityTalent & Capability BuildingHire, onboard, and retain A‑player AI Architects and AI engineersEmpower AI architects and engineers with clear decision rights, context, and AI‑native tooling so they can execute autonomously and at speedImplement a skills‑matrix and personalized growth plans; coach next‑generation tech leadsMake decisions on promotion based on performance reviews anchored in objective contribution metricsPromote 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 deliveryStaff projects with the right talent mix; optimize utilization of core team membersEngineering Excellence & AI‑Native QualityUpdate, automate, and collect AI engineering health indicators – including solution accuracy, latency model drift, cost efficiency, and code quality – 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 routines such as environment provisioning, compliance evidence capture, cost optimisation, and status reportingMaintain reference architectures and reusable component libraries; achieve ≥75 % code reuse across all new workConvert learnings from services projects into IP that reduces future build effort by > 40 %Own the design, packaging, and optimisation of Neurons Lab solutionsSkillsAI‑native software engineering & agentic architecturesMLOps automation and observabilityLarge‑scale AWS (SageMaker, Bedrock, EKS) optimisationRegulatory & security compliance for FSIOrganizational design and talent developmentKPI‑driven process improvementStrategic thinking & systems‑level problem‑solvingKnowledgeCore‑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 principlesExperienceLed AI/ML engineering teams 15 → 50+ in FSI domain while maintaining velocity; delivered production agentic AI systems with ≥ 90 % accuracy & Deployed autonomous AI agents that automated ≥ 40 % of engineering/business processesEstablished, maintained, and improved engineering standards and quality measuresSeniority levelDirectorEmployment typeFull‑timeJob functionEngineering and Information TechnologyReferrals increase your chances of interviewing at Neurons Lab by 2x#J-18808-Ljbffr