Remote AI Solutions Architect - Cloud Infrastructure

Placements24; Durban; Hybrid; ZAR 1,996,000 - 2,994,000; Full time

Benefits offered by this job

Remote work flexibility

Home office setup allowance

Health, dental and vision insurance

Paid time off and holidays

Professional development opportunities

Company-provided laptop

Regular virtual team-building events

Job summary

Placements24 is seeking a Remote AI Solutions Architect to design scalable, cloud-native AI platforms for a global client base. You will lead architecture, security, and performance initiatives across AWS, Azure, and GCP, working asynchronously with distributed teams.

The role emphasizes cutting-edge AI tooling, MLOps, and clear architectural documentation, with a strong focus on remote collaboration and stakeholder communication.

Qualifications

• 10+ years in software architecture with 5+ years cloud-native/AI.
• Deep experience with major cloud platforms and AI services.
• Proficient in MLOps and CI/CD for ML pipelines.
• Excellent remote collaboration and stakeholder management.

Responsibilities

• Design and architect scalable AI/ML solutions on cloud platforms.
• Develop reference architectures for AI deployment and MLOps.
• Collaborate with data scientists and stakeholders to translate requirements.
• Provide technical leadership on cloud AI services and security.
• Create architecture diagrams and deployment guides.

Skills

Python

Scala

Remote collaboration

Communication

Cloud architecture

MLOps

Data warehousing

Big data

Education

Bachelor's or Master's in Computer Science or related field

Tools

Docker

Kubernetes

Kubeflow

MLflow

CI/CD for ML

SageMaker

Azure ML

Vertex AI

Job description

About the Role

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.

Key Responsibilities

• 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.

Requirements

• 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., SageMaker, 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.

Benefits

• 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.