Job Description
At iOCO, we believe in shaping the future through intelligent, data-driven innovation. We are looking for a Senior AI Architect / Product Manager to lead the design, strategy, and implementation of advanced AI solutions across multiple business domains. This role is ideal for a visionary professional who can blend technical expertise with product strategy to drive measurable business value through artificial intelligence.
What you’ll do:
- AI Solution Design and Leadership
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Design and oversee the architecture of AI-based solutions for complex, enterprise-level projects.
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Lead the end-to-end lifecycle of AI product development, from ideation to deployment and continuous optimization.
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Collaborate with cross-functional teams (data engineers, developers, product managers, and stakeholders) to deliver scalable, secure, and high-performance AI solutions.
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Ensure that AI initiatives are aligned with iOCOs digital transformation strategy and client objectives.
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- Strategy and Planning
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Develop and implement AI strategies that align with organizational and client objectives.
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Identify and assess opportunities for AI adoption, creating actionable roadmaps for AI project execution.
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Provide thought leadership on AI trends, ethics, and governance, ensuring responsible and sustainable innovation.
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- Innovation and Mentorship
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Drive innovation by staying ahead of emerging technologies in AI, machine learning, and cloud computing.
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Mentor and provide technical guidance to junior and mid-level team members on AI methodologies, frameworks, and best practices.
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Foster a culture of collaboration, experimentation, and continuous learning within the AI and product teams.
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Your Expertise:
- Minimum of 5 years experience in an AI Architect or Product Manager role.
- Proven track record in designing, developing, and managing AI-driven solutions for large-scale or enterprise projects.
- Experience in strategic planning, solution architecture, and AI lifecycle management.
- Strong background in data analytics, machine learning frameworks, and cloud-based AI platforms.
- Technical Competencies:
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Proficiency with AI/ML tools (TensorFlow, PyTorch, Azure AI, AWS SageMaker, or Google Vertex AI).
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Strong understanding of data pipelines, model deployment, and MLOps.
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Familiarity with Python, R, or equivalent programming languages.
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Ability to design scalable, secure, and maintainable AI architectures.
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Qualifications:
- NQF Level 6 or higher tertiary qualification in Information Communication Technology (ICT) or related field (e.g., Computer Science, Information Systems, or Data Science).
- Cloud certification (e.g., Azure AI, AWS, or Google Cloud) is essential.
Key Attributes for Success:
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Strategic thinker with the ability to align technical solutions to business outcomes.
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Excellent leadership, mentoring, and stakeholder management skills.
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Innovative mindset with a passion for continuous improvement.
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Strong communication skills, able to simplify complex AI concepts for diverse audiences.
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Results-driven with a focus on delivering measurable value through technology.
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