AI Engineer Manager

AI Engineer Manager – Technical Lead & Project Manager (TLPM) – Memoria™ Project Part-time, unpaid during the early phase Hybrid work model (remote and/or on-site in Milan, Doha – Qatar, or Boston) Travel and meeting expenses will be reimbursed upon approval An NDA must be signed This position may evolve into AI Director, Chief MedTech 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™ – AI-powered MedTech platform for cognitive health, early detection, and neuro-assistive support Oxyleaf™ – Synthetic plant systems for environmental regeneration and urban energy Terra™ – Subsurface environmental intelligence and soil-monitoring systems Polaris™ by IFE – AI intelligence for economic, geopolitical, and statistical modeling Biocity™ – 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™ 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. Responsibilities: AI & Machine Learning Development Lead the creation of cognitive AI models, early-detection algorithms, and neural behavior mapping Develop and refine ML pipelines, dataset preparation, training, evaluation, and deployment Integrate LLMs, multimodal models, or hybrid architectures where relevant Ensure compliance with ethical AI, privacy (GDPR), and MedTech data handling Software Architecture & Engineering Define backend system design (Python/Node.js/Go) Build or supervise API development, database flows, microservices, and real-time processing Coordinate cloud-based deployments on AWS, GCP, or Azure Supervise interoperability with wearable devices, sensors, and digital interfaces Project Management & Leadership Lead project roadmap, technical milestones, and development planning Supervise software engineers, junior AI developers, and interns Collaborate with medical supervisors and external research partners Present technological progress to leadership, research boards, and potential investors Requirements 5+ years of experience in AI engineering, ML systems, or advanced software development Expertise in: Python (mandatory) TensorFlow, PyTorch, scikit-learn Scripting 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 preferred Excellent leadership, communication, and technical planning skills Master’s degree required; PhD preferred (AI, Data Science, Engineering, Neuroscience, or related fields) Fluent in English (Italian is a plus) Preferred Qualifications Background in cognitive computing, brain mapping, or neuro-assistive technologies Experience with biomedical datasets, clinical workflows, or experimental protocols Familiarity with CE/MDR regulations for medical devices Strong interest in ethical AI, explainability, and patient-centered digital tools Ability to bridge research and engineering in fast-paced environments Benefits Provided Reimbursement of travel and approved meeting expenses Access to AI tools, cloud credits, dev infrastructure, and institute platforms Leadership role in a high-impact MedTech innovation Opportunity to publish, collaborate with universities, and join research initiatives Potential to join the Scientific Committee Board (SCB) Clear growth path to Director or C-level leadership How to Apply: Please send: CV Letter of Presentation (max 1 page) including: Why you want to lead the Memoria™ AI development Your technical strengths and relevant experience Your vision for neuro-assistive AI technologies E-mail: Subject: WE2025 Job – AI Engineer Manager (TLPM) – Memoria™ – (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™.