Position: AI Infrastructure Architect
Company: Multinational Company (MNC)
Sector: Telecom & Finance
Location: Johannesburg, South Africa (Onsite, Mon–Fri)
Compensation: ₹73–100 LPA (Equivalent to 84–100K USD)
Experience Required: 8–10 years (with at least 4 years in AI/ML platform building)
Education: Bachelor’s or Master’s in Computer Science, Engineering, or related field. Azure certifications preferred.
Team Size: 1000+ employees globally
Reporting To: Lead Architect
Notice Period: 30 days (Buyout not available)
Role Type: Individual Contributor

About the Company

A leading MNC operating in the telecom and finance sectors, with a presence in South Africa and other global regions. The company is publicly listed and well-funded, providing innovative solutions in regulated industries.

Role Overview

The AI Infrastructure Architect will design, govern, and optimize enterprise-grade AI platforms on Azure. This role focuses on enabling scalable, secure, and cost-efficient AI/ML solutions, empowering data science teams across industries.

Key Responsibilities (KRAs)

1. Platform Architecture & Governance

   • Design and oversee scalable Azure-based AI platforms.

   • Ensure compliance, reusability, and alignment with enterprise transformation strategies.

   • Maintain cloud security and governance standards.

2. Solution Enablement & MLOps

   • Implement AI/ML components with CI/CD pipelines.

   • Enable automated deployments to streamline workflows for data science teams.

   • Integrate MLOps best practices into development.

3. Data Integration & Optimization

   • Architect high-performance data pipelines.

   • Ensure seamless integration between systems.

   • Manage cost-effective, scalable AI operations.

Required Skills

Must Have

• Azure AI Platform Architecture

• Cloud Security & Governance

• Strong MLOps, DevOps, CI/CD, and infrastructure automation experience

Specialist Skills

• MLOps & Infrastructure Automation

• Data Integration & Pipeline Design

Industry Exposure

• Telecom

• Financial Services

• Regulated Industries

Preferred Certifications

• Azure Solutions Architect

• Azure AI Engineer

• Azure Data Engineer

Evaluation Criteria

• Proven experience in large-scale AI/ML platform design and deployment

• Strong hands-on with Azure cloud services

• Demonstrated MLOps expertise with enterprise-level CI/CD automation

• Experience in data pipeline architecture and governance in regulated sectors