AI Solutions Architect - Cloud Integration

Placements24; South Africa; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary

Medical aid

Retirement fund

Generous leave

Certifications support

Hybrid work

Advanced AI training

Job summary

Placements24 in Gauteng seeks an AI Solutions Architect to design and deploy scalable AI systems from Tembisa, with a hybrid work model combining office collaboration and remote work. You will translate business needs into robust architectures and drive AI initiatives that impact customer experiences.

You will evaluate AWS/Azure/GCP AI services, lead technical discussions, document architectures, and mentor teams on AI best practices, MLOps, and data engineering.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Extensive experience in designing and implementing AI/ML solutions.
• Proficiency with cloud computing platforms (AWS, Azure, GCP) and their AI/ML services.
• Strong understanding of machine learning algorithms, data modeling, and MLOps principles.
• Experience with programming languages such as Python, Java, or Scala.
• Excellent communication and presentation skills, with the ability to explain complex technical concepts.
• Proven ability to lead technical discussions and influence decision-making.
• Experience in architectural design patterns and best practices.
• Knowledge of data engineering concepts and tools.

Responsibilities

• Design end-to-end AI solutions, encompassing data pipelines, model deployment, and integration with existing systems.
• Evaluate and select appropriate AI technologies and cloud services (AWS, Azure, GCP) for various projects.
• Develop architectural blueprints and technical specifications for AI initiatives.
• Collaborate with data scientists, engineers, and product managers to ensure successful project execution.
• Provide technical leadership and guidance on AI best practices and emerging trends.
• Assess the feasibility and potential ROI of new AI applications.
• Develop and maintain documentation for AI solutions and architectures.
• Present technical solutions and recommendations to stakeholders at various levels.

Skills

AI/ML design

Cloud platforms

Python/Java/Scala

Leadership

Communication

MLOps

Education

Bachelor’s or Master’s in CS/Engineering

Tools

TensorFlow/PyTorch

CI/CD tools

Kubernetes

Job description

About the Role

Our client is looking for a visionary AI Solutions Architect to spearhead the design and implementation of innovative AI solutions within their AI & Emerging Technologies department. Based in Tembisa, Gauteng, this role offers a flexible Hybrid work model, blending collaboration in the office with the convenience of remote work. You will be instrumental in translating complex business requirements into scalable and efficient AI architectures, leveraging cloud platforms and cutting-edge technologies. This is a unique opportunity to shape the future of AI adoption within the organization, working on projects that have a tangible impact on business outcomes and customer experiences. You will engage with diverse stakeholders, from technical teams to executive leadership, ensuring the successful delivery of transformative AI initiatives.

Key Responsibilities

• Design end-to-end AI solutions, encompassing data pipelines, model deployment, and integration with existing systems.
• Evaluate and select appropriate AI technologies and cloud services (AWS, Azure, GCP) for various projects.
• Develop architectural blueprints and technical specifications for AI initiatives.
• Collaborate with data scientists, engineers, and product managers to ensure successful project execution.
• Provide technical leadership and guidance on AI best practices and emerging trends.
• Assess the feasibility and potential ROI of new AI applications.
• Develop and maintain documentation for AI solutions and architectures.
• Present technical solutions and recommendations to stakeholders at various levels.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Extensive experience in designing and implementing AI/ML solutions.
• Proficiency with cloud computing platforms (AWS, Azure, GCP) and their AI/ML services.
• Strong understanding of machine learning algorithms, data modeling, and MLOps principles.
• Experience with programming languages such as Python, Java, or Scala.
• Excellent communication and presentation skills, with the ability to explain complex technical concepts.
• Proven ability to lead technical discussions and influence decision-making.
• Experience in architectural design patterns and best practices.
• Knowledge of data engineering concepts and tools.

Benefits

• Competitive annual salary and performance bonuses.
• Comprehensive medical aid and retirement fund contributions.
• Generous leave allocation.
• Opportunities for continuous learning and professional certifications.
• Access to advanced training programs in AI and cloud technologies.
• Hybrid work environment promoting work-life balance.
• Collaborative team culture focused on innovation.