Digital Implementation Architect

Overview Consulte la descripción del puesto a continuación. Si confía en que tiene las habilidades y la experiencia adecuadas, envíe su solicitud hoy mismo. We enable enterprise AI adoption by designing scalable, secure, and ethical AI solutions that drive real business value. Our teams work across data, engineering, and business domains to integrate AI into core processes. As an AI Architect, you will shape AI strategy, define architectures, and guide teams in delivering production-ready AI solutions. Responsibilities Define the AI vision, strategy, and roadmap aligned with business objectives. Design and implement scalable and secure AI/ML architectures. Collaborate with data scientists, engineers, and business stakeholders to deliver AI-driven solutions. Ensure integration of AI solutions with existing platforms and workflows. Oversee data pipelines, model deployment, and lifecycle management (MLOps). Monitor, optimize, and continuously improve AI models in production. Establish AI governance and ethical AI guidelines. Provide technical leadership and mentorship across AI and data teams. Qualifications Degree in Computer Science , Data Science, AI, or a related field (Ph.D. is a plus). Proven experience in AI/ML architecture or senior AI engineering roles. Hands-on experience deploying AI/ML models into production environments. Strong knowledge of AI/ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn). Experience with cloud AI platforms (AWS, Azure, or GCP). Proficiency in Python, R, or Java. Experience with MLOps, containerization, and orchestration (Docker, Kubernetes). Understanding of data governance, ethical AI, and regulatory compliance. Strong analytical, communication, and leadership skills. xohynlm Excellent command of written and spoken English. #J-18808-Ljbffr