AI Solutions Architect - Cloud Integration

Placements24; Kempton Park; Hybrid; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Medical aid contributions

Retirement fund

Learning & certification opportunities

Hybrid work model

Collaborative team culture

Job summary

Placements24 is seeking a visionary AI Solutions Architect to lead the design and deployment of innovative AI solutions in a hybrid Gauteng-based role. The position focuses on translating business needs into scalable AI architectures using AWS, Azure, and GCP.

You will collaborate with data scientists, engineers and product managers, provide technical leadership, and drive AI initiatives with measurable business impact across multiple stakeholders.

Qualifications

• Bachelor’s or Master’s degree in CS/Engineering or related field.
• Extensive experience designing and implementing AI/ML solutions.
• Proficiency with cloud AI/ML services (AWS, Azure, GCP).
• Strong understanding of ML algorithms and data modeling.
• Experience with Python, Java, or Scala.
• Excellent communication and leadership skills.

Responsibilities

• Design end-to-end AI solutions including data pipelines and deployment.
• Evaluate AI technologies and cloud services for projects.
• Develop architectural blueprints and specifications for AI initiatives.
• Collaborate with data scientists, engineers and product managers.
• Provide technical leadership on AI best practices and trends.
• Assess feasibility and ROI of new AI applications.
• Maintain documentation for AI solutions and architectures.
• Present solutions to stakeholders at multiple levels.

Skills

AI/ML design

Cloud platforms (AWS/Azure/GCP)

ML models & pipelines

Python/Java/Scala

Data engineering concepts

Education

Bachelor’s or Master’s in CS/Engineering

Tools

AWS

Azure

GCP

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.