Ai Engineer Manager

AI Engineer Manager – Technical Lead & Project Manager (TLPM) – Memoria TM 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 signed This position may evolve into AI Director, Chief Med Tech Technology Officer, or Head of Cognitive Systems, depending on performance and project growth.About Institute Itech:Institute 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 TM – AI-powered Med Tech platform for cognitive health, early detection, and neuro-assistive supportOxyleaf TM – Synthetic plant systems for environmental regeneration and urban energyTerra TM – Subsurface environmental intelligence and soil-monitoring systemsPolaris TM by IFE – AI intelligence for economic, geopolitical, and statistical modelingBiocity TM – International doctoral programme on sustainable and climate-resilient cities Institute Itech is legally incorporated (USA, Italy) and is building its core engineering and scientific leadership team.About the Role:We are seeking an AI Engineer Manager to serve as Technical Lead & Project Manager (TLPM) for the Memoria TM Project, overseeing the full technological architecture of one of the institute's flagship Med Tech 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.Responsibilities:AI & 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 Med Tech data handling Software 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 interfaces Project 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 investors Requirements5+ years of experience in AI engineering, ML systems, or advanced software developmentExpertise in:Python (mandatory)Tensor Flow, Py Torch, scikit-learnScripting languages (Bash, Power Shell, 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 Med Tech systems is strongly preferredExcellent leadership, communication, and technical planning skillsMaster's degree required; Ph D 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 environments Benefits ProvidedReimbursement of travel and approved meeting expensesAccess to AI tools, cloud credits, dev infrastructure, and institute platformsLeadership role in a high-impact Med Tech 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 leadership How to Apply:Please send:CVLetter of Presentation (max 1 page) including:Why you want to lead the Memoria TM AI developmentYour technical strengths and relevant experienceYour vision for neuro-assistive AI technologies E-mail:Subject: WE**** Job – AI Engineer Manager (TLPM) – Memoria TM – (Name Surname)Time Commitment:This 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 TM.