AI Cloud Solutions Architect (Hybrid)

Parvana

Cape Town

Hybrid

ZAR 900.000 - 1.200.000

Vollzeit

vor 45 Stunden
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Hybrid work model
Continuous learning opportunities
Health benefits

Zusammenfassung

Parvana is seeking an AI Solutions Architect to design and implement scalable AI-driven solutions on cloud platforms in a hybrid Cape Town setting. The role requires translating business challenges into technical strategies and collaborating with clients and internal teams.

The ideal candidate has 5+ years in solution architecture with cloud expertise (AWS/Azure/GCP), a solid AI/ML background, and strong communication skills to lead technical discussions and demonstrations.

Qualifikationen

  • Bachelor’s or Master’s degree in CS, Engineering, or related field.
  • 5+ years of solution architecture experience with emphasis on cloud technologies (AWS/Azure/GCP).
  • Proven AI/ML solution design and ML Ops practices.
  • Strong understanding of AI/ML algorithms and practical applications.
  • Excellent communication and client-facing skills.
  • Hybrid work model with on-site and remote responsibilities.

Aufgaben

  • Design end-to-end AI/ML solutions on cloud platforms.
  • Provide technical leadership on AI strategy and best practices.
  • Evaluate and recommend AI/ML services from major cloud providers.
  • Develop PoCs and technical demonstrations.
  • Collaborate with development teams to operationalize AI architectures.
  • Contribute to pre-sales and proposal development.

Kenntnisse

Cloud architecture
AI/ML experience
Client-facing skills

Ausbildung

Bachelor's or Master's degree

Tools

AWS
Azure
GCP

Jobbeschreibung

Parvana is seeking an AI Solutions Architect to design and implement scalable AI-driven solutions on cloud platforms in a hybrid Cape Town setting. The role requires translating business challenges into technical strategies and collaborating with clients and internal teams.

The ideal candidate has 5+ years in solution architecture with cloud expertise (AWS/Azure/GCP), a solid AI/ML background, and strong communication skills to lead technical discussions and demonstrations.

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