AI Platform Lead – Hands-on, Scale & Strategy

Network Finance

South Africa

Vor Ort

ZAR 1.200.000 - 1.800.000

Vollzeit

vor 35 Stunden
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

Network Finance seeks an AI Product Engineering Lead to drive the next growth phase by delivering dependable intelligence that improves user outcomes and productivity.

The role is hands-on and strategic, coding and validating solutions while guiding product direction for AI capabilities across Azure-based .NET services. You will mentor engineers, shape standards, and collaborate with stakeholders to scale a live platform.

Qualifikationen

  • Strong commercial experience with C# and .NET (ASP.NET Core).
  • Proven experience building and deploying AI-powered applications in production environments.
  • Hands-on experience with Azure OpenAI, Azure AI Foundry, and Microsoft AI SDKs.
  • Experience with tool and function calling and agent-based architectures.
  • Knowledge of MCP (Model Context Protocol).
  • Experience evaluating and improving AI systems for reliability and performance.

Aufgaben

  • Define and drive the AI vision and roadmap alongside Product Owners.
  • Deliver AI capabilities from concept through deployment and adoption.
  • Ensure AI capabilities integrate with automation, knowledge access, and learning systems.
  • Establish best practices and patterns to raise AI capability across the engineering team.
  • Design intelligent experiences to improve operational outcomes and decision-making.

Kenntnisse

C# & .NET
AI in production
Azure OpenAI
Azure AI Foundry
Microsoft AI SDKs
Tool calling
Agent-based architectures
MCP (Model Context Protocol)
Data governance

Tools

Azure OpenAI Services
ASP.NET Core
Agent frameworks
Event-driven architectures

Jobbeschreibung

Network Finance seeks an AI Product Engineering Lead to drive the next growth phase by delivering dependable intelligence that improves user outcomes and productivity.

The role is hands-on and strategic, coding and validating solutions while guiding product direction for AI capabilities across Azure-based .NET services. You will mentor engineers, shape standards, and collaborate with stakeholders to scale a live platform.

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