AI Solutions Architect - Cloud and Big Data

About the Role

Our client, a leader in AI and Emerging Technologies, is seeking an experienced AI Solutions Architect with expertise in Cloud and Big Data technologies. This role is fully remote, offering a unique opportunity to design and implement scalable AI solutions from anywhere. You will be responsible for translating complex business requirements into robust, high-performance AI architectures, leveraging cloud platforms and big data infrastructure. The ideal candidate possesses a deep understanding of AI/ML principles, cloud computing services (AWS, Azure, GCP), and distributed data processing frameworks. This position offers a chance to architect transformative solutions that drive significant business value. We are looking for a strategic thinker with excellent technical and communication skills, capable of guiding technical teams and engaging with stakeholders at all levels. This is an exciting opportunity to shape the future of AI solutions within a dynamic, globally distributed organization.

Key Responsibilities

• Design and architect end-to-end AI/ML solutions on cloud platforms.
• Develop comprehensive technical roadmaps for AI initiatives, considering scalability, security, and cost-effectiveness.
• Collaborate with data scientists, engineers, and business stakeholders to define requirements and technical specifications.
• Lead the selection and implementation of appropriate AI/ML tools, frameworks, and platforms.
• Ensure the integration of AI solutions with existing enterprise systems and data infrastructure.
• Provide technical leadership and guidance to development teams throughout the project lifecycle.
• Optimize AI workloads for performance and cost efficiency on cloud environments.
• Stay abreast of the latest trends and technologies in AI, cloud computing, and big data.
• Develop and maintain architectural documentation, standards, and best practices.
• Troubleshoot complex technical issues and provide timely resolutions.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Extensive experience in architecting and implementing AI/ML solutions, preferably in a cloud environment.
• Deep knowledge of major cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Proficiency with big data technologies such as Spark, Hadoop, Kafka, and data warehousing solutions.
• Strong understanding of various AI/ML algorithms and model deployment strategies.
• Experience with containerization technologies (Docker, Kubernetes).
• Excellent understanding of software development principles and DevOps practices.
• Strong analytical and problem-solving skills, with the ability to think strategically.
• Outstanding communication, presentation, and interpersonal skills.