Remote AI Solutions Architect - Cloud Infrastructure

Our client, a global leader in AI-driven cloud solutions, is seeking an exceptional Remote AI Solutions Architect to spearhead the design and implementation of scalable AI infrastructures. This fully remote role allows you to work from anywhere, contributing to innovative projects that leverage artificial intelligence to solve complex business problems for a diverse clientele. You will be responsible for architecting robust cloud-native AI platforms, ensuring high availability, performance, and security.

This is an exciting opportunity to be at the forefront of cloud AI innovation, working with the latest technologies and collaborating with distributed teams worldwide. We are looking for a visionary architect who can translate business requirements into effective, cutting-edge AI solutions, with a strong emphasis on remote collaboration and asynchronous communication best practices.

• Design and architect scalable, secure, and performant AI/ML solutions on major cloud platforms (AWS, Azure, GCP).
• Develop best practices and reference architectures for AI model deployment, MLOps, and data pipelines.
• Collaborate closely with data scientists, ML engineers, and business stakeholders to understand requirements and translate them into technical designs.
• Provide technical leadership and guidance on cloud AI services, infrastructure, and emerging technologies.
• Develop proof-of-concepts (PoCs) and prototypes to validate architectural approaches.
• Create comprehensive technical documentation, including architectural diagrams, design specifications, and deployment guides.
• Ensure adherence to cloud security best practices and compliance standards.
• Advise clients on AI strategy, technology choices, and implementation roadmaps.
• Facilitate seamless integration of AI solutions with existing enterprise systems.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• 10+ years of experience in software architecture, with at least 5 years focused on cloud-native solutions and AI/ML.
• In-depth knowledge of cloud platforms (AWS, Azure, or GCP) and their AI/ML services (e.g., Sage Maker, Azure ML, Vertex AI).
• Strong understanding of MLOps principles and tools (e.g., Kubeflow, MLflow, CI/CD for ML).
• Experience with containerization technologies (Docker, Kubernetes).
• Proficiency in programming languages commonly used in AI/ML (e.g., Python, Scala).
• Excellent understanding of data architecture, data warehousing, and big data technologies.
• Proven ability to design and implement complex, scalable, and fault-tolerant systems.
• Exceptional communication, presentation, and stakeholder management skills, crucial for a remote role.
• Ability to work effectively in a distributed, asynchronous team environment.

• Competitive salary and bonus structure.
• Remote work flexibility, allowing you to work from anywhere.
• Generous home office setup allowance.
• Comprehensive health, dental, and vision insurance.
• Paid time off and holidays.
• Professional development opportunities, including certifications and training.
• Company-provided laptop and necessary software licenses.
• Regular virtual team-building events and social activities.