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-**** audit)Production model accuracy = 90%, latencyMaintain ********* 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 observabilityRegulatory & security compliance for FSIOrganizational design and talent developmentStrategic 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 scratchAWS 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 typeJob functionEngineering and Information TechnologyReferrals increase your chances of interviewing at Neurons Lab by 2x#J-*****-Ljbffr