AI Architect | Centroamrica, PA y RD

The role involves designing and developing scalable cloud-based Generative AI solutions using state-of-the-art models. You will collaborate with cross-functional teams to gather business requirements and translate them into technical solutions. Additionally, you will be responsible for creating architectural blueprints and technical documentation. In terms of cloud infrastructure, you will architect secure and scalable environments to support the deployment and operation of AI models, ensuring high availability, data integrity, and compliance with industry standards. Optimization of cloud resources for performance, cost-efficiency, and scalability will also be part of your responsibilities. To enhance security measures, you will implement robust security protocols to safeguard data and AI models from unauthorized access and cyber threats. Compliance with industry standards, regulations, and data privacy laws will be crucial, along with conducting regular security assessments and audits to identify and mitigate potential risks. Collaboration with data scientists, machine learning engineers, and other stakeholders is essential to integrate AI models into production environments. Moreover, you will provide technical leadership and mentorship to junior team members and stay updated on the latest advancements in AI and cloud technologies. Performance monitoring and optimization play a significant role in this position, involving the continuous monitoring of AI models and cloud infrastructure performance. You will identify and address performance bottlenecks and scalability issues while implementing improvement processes to enhance system performance and reliability. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Proven experience as an AI Architect, Cloud Architect, or similar role. - Strong expertise in designing and deploying cloud-based AI solutions on platforms like AWS, Azure, or Google Cloud. - In-depth knowledge of generative AI models, machine learning frameworks, and AI deployment best practices. - Experience in cloud infrastructure, including networking, storage, and security. - Familiarity with industry standards and regulations related to data privacy and security. - Excellent problem-solving skills and the ability to thrive in a fast-paced, dynamic environment. - Strong communication and collaboration skills. Preferred Skills: - Familiarity with big data technologies such as Hadoop and Spark. - Experience in natural language processing (NLP). - Knowledge of big data technologies and data engineering. - Experience with machine learning frameworks like TensorFlow, PyTorch, or similar. - Certification in cloud architecture or AI/ML is a plus.,