Remote AI Solutions Architect for Global Impact

Placements24; Mtubatuba Local Municipality; Hybrid; ZAR 1,200,000 - 2,000,000; Full time

Job summary

Placements24 seeks a highly experienced Remote AI Solutions Architect to design and implement cutting-edge AI solutions for a global clientele. You will translate client needs into scalable architectures and guide development, working with distributed teams to deliver value.

The role requires deep expertise in AI/ML, cloud platforms (AWS, Azure, GCP), ML models, and MLOps, plus strong communication and stakeholder management in a fully remote setup.

Qualifications

• Master's degree or higher in Computer Science, Engineering, or related field.
• Extensive experience architecting and deploying large-scale AI/ML systems.
• Proficiency with AWS, Azure and/or GCP and their AI/ML services.
• Strong knowledge of ML models, algorithms, and MLOps best practices.
• Excellent communication, presentation and stakeholder management.
• Experience working in a remote, collaborative environment.

Responsibilities

• Design end-to-end AI/ML solutions from data ingestion to deployment and monitoring.
• Collaborate with clients and teams to define technical requirements and roadmaps.
• Evaluate AI technologies, platforms and tools for various use cases.
• Provide technical leadership to development teams across the project lifecycle.
• Ensure scalability, reliability, security and performance objectives.
• Develop proof-of-concepts and prototypes to demonstrate feasibility.

Skills

AI architecture

Cloud platforms

MLOps

Stakeholder mgmt

Remote collaboration

Communication

Education

Master's degree in CS/Engineering

Tools

AWS

Azure

GCP

Job description

Placements24 seeks a highly experienced Remote AI Solutions Architect to design and implement cutting-edge AI solutions for a global clientele. You will translate client needs into scalable architectures and guide development, working with distributed teams to deliver value.

The role requires deep expertise in AI/ML, cloud platforms (AWS, Azure, GCP), ML models, and MLOps, plus strong communication and stakeholder management in a fully remote setup.