Contribute toward AI roadmap for AI-driven automation aligning with strategic company and client goals.
Collaborate with engineering and data teams to design and architect scalable, robust, and innovative AI solutions (e.g., automated network diagnostics, bot recommendation systems, AI agents NOC operations).
Act as the Solution Owner in an Agile/Scrum environment, managing the product backlog, writing detailed user stories, defining acceptance criteria, and prioritizing features.
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Deliver lectures, tutorials, practical sessions and other teaching and learning activities in Artificial Intelligence and related areas at undergraduate and postgraduate levels.
Develop, review and enhance curriculum, course content, teaching materials and assessments to ensure academic quality and relevance to current technological and industry developments.
Supervise undergraduate and postgraduate projects, research, dissertations and/or theses, where applicable.
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• Positive, collaborative team player comfortable operating with minimal supervision across multiple concurrent opportunities.
Role Description The Technical Sales Consultant is a client-facing role responsible for driving pipeline creation and identifying opportunities for adoption of data and AI solutions across enterprise accounts in various industries including financial services, insurance/takaful and GLCs. This person works in close partnership with our technical team — solution architects, data engineers, and delivery leads — to translate client business challenges into validated technical proposals, POCs, and implementation roadmaps. Success in this role depends on the ability to independently lead discovery and qualification conversations while staying tightly coordinated with technical resources to ensure every proposal is technically sound and deliverable.
Design, develop, test, and maintain AI-powered applications for finance and business transformation initiatives.
Build innovative solutions using Generative AI, Large Language Models (LLMs), Machine Learning, Natural Language Processing (NLP), and Data Analytics.
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Design, develop, test, and maintain AI-powered applications for finance and business transformation initiatives.
Build innovative solutions using Generative AI, Large Language Models (LLMs), Machine Learning, Natural Language Processing (NLP), and Data Analytics.
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Conduct regular needs assessments across departments (sales, retail operations, finance, HR, marketing) to identify gaps that software, systems, or AI tools could solve.
Research, shortlist, and critically evaluate SaaS platforms, enterprise systems, and AI tools against business requirements, cost, scalability, and integration feasibility.
Run structured pilots or proof-of-concepts before full rollout, with clear success metrics.
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