AI Architect, Midrand

Role Overview We are seeking an AI Architect to lead the design, strategy, and implementation of AI-driven capabilities across Comsol's operational and customer-facing systems. This role will define how AI is applied across the business, from intelligent automation of support and provisioning workflows to predictive analytics on network and service data. The AI Architect will work closely with the integration, BSS, and OSS teams to identify high-value opportunities for AI adoption and ensure solutions are scalable, maintainable, and aligned with the broader systems architecture.Key Responsibilities

Define and maintain the AI strategy and roadmap for the DevOps and systems engineering teams Architect AI/ML solutions across integration, monitoring, provisioning, and customer service domains Design and oversee the deployment of AI agents, LLM-based assistants, and automated decision-making workflowsCollaborate with integration engineers and developers to embed AI capabilities into existing platforms (ServiceNow, Django, OSS tools) Evaluate and recommend AI frameworks, tools, and platforms suitable for the business Establish best practices for prompt engineering, model evaluation, data pipelines, and responsible AI usageLead proof-of-concept initiatives and translate them into production-ready solutions Mentor team members on AI-assisted development and workflow orchestration Required Skills and Experience

7+ years of experience in software engineering, data science, or AI/ML engineering Strong hands-on experience with Python and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, LangChain, or similar) Proven track record of designing and deploying AI solutions in enterprise or operational environmentsExperience with cloud-based AI services (AWS SageMaker, Azure AI, Google Vertex AI, or similar) Solid understanding of API-driven architecture and system integration patterns Experience with LLMs, RAG architectures, and AI agent orchestration Strong communication skills with the ability to translate AI concepts into business valuePreferred Qualifications

Experience in telecommunications or ISP environments Familiarity with TM Forum standards and OSS/BSS architecture Exposure to ServiceNow AI capabilities or similar platform-level AI features Background in MLOps, model monitoring, and production AI lifecycle management Relevant certifications (AWS ML Specialty, Azure AI Engineer, Google Professional ML Engineer)

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