AI Engineer Manager

OverviewAI Engineer Manager – Technical Lead & Project Manager (TLPM) – Memoria™ ProjectPart-time, unpaid during the early phaseHybrid work model (remote and / or on-site in Milan, Doha – Qatar, or Boston)Travel and meeting expenses will be reimbursed upon approvalAn NDA must be signedThis position may evolve into AI Director, Chief MedTech Technology Officer, or Head of Cognitive Systems, depending on performance and project growth.About Institute ItechInstitute Itech is an early-stage multinational company committed to building a new model of society grounded in education, advanced technology, and social development.We are developing several innovation projects, including :Memoria™ – AI-powered MedTech platform for cognitive health, early detection, and neuro-assistive supportOxyleaf™ – Synthetic plant systems for environmental regeneration and urban energyTerra™ – Subsurface environmental intelligence and soil-monitoring systemsPolaris™ by IFE – AI intelligence for economic, geopolitical, and statistical modelingBiocity™ – International doctoral programme on sustainable and climate-resilient citiesInstitute Itech is legally incorporated (USA, Italy) and is building its core engineering and scientific leadership team.About the RoleWe are seeking an AI Engineer Manager to serve as Technical Lead & Project Manager (TLPM) for the Memoria™ Project, overseeing the full technological architecture of one of the institute’s flagship MedTech initiatives.The TLPM will lead development of AI models, coordinate engineering workflows, and work closely with neuroscientists, clinicians, designers, and the CEO to build a cutting-edge neuro-assistive system.This is a role for a highly skilled, autonomous technical leader capable of translating research goals into robust, scalable systems.ResponsibilitiesAI & Machine Learning DevelopmentLead the creation of cognitive AI models, early-detection algorithms, and neural behavior mappingDevelop and refine ML pipelines, dataset preparation, training, evaluation, and deploymentIntegrate LLMs, multimodal models, or hybrid architectures where relevantEnsure compliance with ethical AI, privacy (GDPR), and MedTech data handlingSoftware Architecture & EngineeringDefine backend system design (Python / Node.js / Go)Build or supervise API development, database flows, microservices, and real-time processingCoordinate cloud-based deployments on AWS, GCP, or AzureSupervise interoperability with wearable devices, sensors, and digital interfacesProject Management & LeadershipLead project roadmap, technical milestones, and development planningSupervise software engineers, junior AI developers, and internsCollaborate with medical supervisors and external research partnersPresent technological progress to leadership, research boards, and potential investorsRequirements5+ years of experience in AI engineering, ML systems, or advanced software developmentExpertise in :Python (mandatory)TensorFlow, PyTorch, scikit-learnScripting languages (Bash, PowerShell, or similar)Knowledge of cloud architectures (AWS / GCP / Azure)Proficiency in backend development (Node.js, Python, Go, or equivalent)Experience in digital health, neurotech, or MedTech systems is strongly preferredExcellent leadership, communication, and technical planning skillsMaster’s degree required; PhD preferred (AI, Data Science, Engineering, Neuroscience, or related fields)Fluent in English (Italian is a plus)Preferred QualificationsBackground in cognitive computing, brain mapping, or neuro-assistive technologiesExperience with biomedical datasets, clinical workflows, or experimental protocolsFamiliarity with CE / MDR regulations for medical devicesStrong interest in ethical AI, explainability, and patient-centered digital toolsAbility to bridge research and engineering in fast-paced environmentsBenefits ProvidedReimbursement of travel and approved meeting expensesAccess to AI tools, cloud credits, dev infrastructure, and institute platformsLeadership role in a high-impact MedTech innovationOpportunity to publish, collaborate with universities, and join research initiativesPotential to join the Scientific Committee Board (SCB)Clear growth path to Director or C-level leadershipHow to ApplyCVLetter of Presentation (max 1 page) including :Why you want to lead the Memoria™ AI developmentYour technical strengths and relevant experienceYour vision for neuro-assistive AI technologiesEmail: : WE2025 Job – AI Engineer Manager (TLPM) – Memoria™ – (Name Surname)Time CommitmentThis is a non-paid position during the startup phase, requiring 4–6 hours per week.We are looking for a high-level AI systems engineer capable of designing, implementing, and supervising the core technological architecture of Memoria™.#J-18808-Ljbffr