AI Technical Architect
Occupations:
Computer Systems Engineers/ArchitectsSoftware DevelopersComputer and Information Systems ManagersComputer Systems AnalystsArchitectural and Engineering ManagersIndustries:
Computer Systems Design and Related ServicesManagement, Scientific, and Technical Consulting ServicesOther Professional, Scientific, and Technical ServicesProfessional and Commercial Equipment and Supplies Merchant WholesalersBusiness Support Services8+ years of hands-on technical experience in software engineering, with at least 3+ years in a leadership role managing cross-functional teams, including GenAI, machine learning, and cloud infrastructure.Hands-on Experience in designing and developing large-scale systems, including GenAI, API architectures, data systems, ML pipelines, and cloud-native applications.Programming Languages: Proficiency in Python, JavaScript, Java, or other backend languages. Experience with API development (RESTful APIs, GraphQL).Machine Learning & AI: Extensive experience in building and deploying ML models using TensorFlow, PyTorch, scikit-learn, and spaCy, with hands-on experience in integrating them into GenAI applications.Hands on experience in GCP/Data Engineering/DevOpsThe AI architect will play a pivotal role in architecting, leading, and actively contributing to the development of GenAI applications, machine learning models, data engineering pipelines, and cloud-native infrastructure.Be responsible for architecting complex systems, making critical decisions, and leading teams to deliver high-quality, scalable solutions while remaining directly involved in coding, technical design, and problem-solving