Senior AI Solutions Architect — Remote-First & Cloud-Native

Placements24

South Africa

Remote

ZAR 1,000,000 - 2,000,000

Full time

2 days ago
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Benefits offered by this job

Remote-first company
Home-office stipend
Professional development opportunities
Health/vision/dental insurance
Retirement savings plan

Job summary

Placements24 is seeking a Senior AI Solutions Architect for a fully remote team. You will design end-to-end AI/ML solutions, translating client needs into scalable architectures on AWS, Azure, or GCP.

You will lead technical discussions, guide engineering, and ensure data governance and ethical AI practices while staying ahead of ML advances. Strong communication and remote collaboration are essential.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
  • 7+ years in software architecture, design, or consulting, with 3+ years in AI/ML.
  • Experience delivering end-to-end AI/ML solutions on AWS, Azure or GCP.
  • Solid Python coding and data processing skills.
  • Strong leadership and client-facing communication abilities.
  • Knowledge of data governance and ethical AI considerations is desirable.

Responsibilities

  • Collaborate with clients to translate requirements into AI/ML solution designs.
  • Architect scalable, secure AI/ML solutions on cloud platforms.
  • Develop proofs-of-concept and technical proposals.
  • Provide technical leadership to engineering teams.
  • Evaluate AI/ML tools and frameworks for use cases.
  • Ensure data privacy, security, and ethical AI practices.
  • Communicate complex architectures to both technical and non-technical stakeholders.
  • Stay updated on AI/ML advancements and methodologies.

Skills

AI/ML architecture
Cloud platforms
Python
TensorFlow
PyTorch
Communication
Remote work

Education

Bachelor's or Master's in CS or related field

Tools

TensorFlow
PyTorch
MLOps

Job description

Placements24 is seeking a Senior AI Solutions Architect for a fully remote team. You will design end-to-end AI/ML solutions, translating client needs into scalable architectures on AWS, Azure, or GCP.

You will lead technical discussions, guide engineering, and ensure data governance and ethical AI practices while staying ahead of ML advances. Strong communication and remote collaboration are essential.

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