Prepare and maintain Business Requirement Documents, Functional Specification Documents, solution notes, workflow diagrams, data flow diagrams and related project documentation.
Work with Solution Architects, Developers, UI/UX Designers, Project Managers and Product Owners to design practical, scalable and user-friendly application solutions.
Assess solution feasibility by considering business priorities, user impact, technical constraints, integration requirements, data needs and project scope.
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Building technical thought-leadership in Cloud Computing/Linode to support overall Akamai APJ business growth
Have 5 years+ of relevant experience working in a customer facing technical role with cloud/ hosting provider company
Demonstrate successful experience in architecting complex IaaS solutions for customers. Possess professional architect level certifications from AWS/GCP
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Ensuring the accuracy of project balance sheet, income and cash flow statements, and monthly/quarterly forecast and participating in opportunity/risk identification, monitoring risk mitigation measures, and ensuring they are timely implemented.
Promoting commercial awareness in the project team and providing commercial input to the project execution plan (such as T&Cs in supply management, claims, back-to-back conditions).
Ensuring adherence to ABB’s corporate governance, integrity, assurance, internal controls, and business specific finance directives and instructions.
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Assist in developing AI solution architectures, HLD/LLD, data-flow designs, sizing, BoM, costing, implementation roadmaps and proposals for RFI/RFP/tenders.
Design solutions across generative AI, LLMs, machine learning, computer vision, NLP, intelligent automation, conversational AI, agents and predictive analytics.
Architect enterprise AI platforms across public, private and hybrid cloud, including data platforms, training, fine-tuning, inference, RAG, vector databases, APIs and MLOps/LLMOps.
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Develop HLD/LLD, architecture diagrams, sizing, BoM, costing, migration approach and technical proposals for RFI/RFP/tender opportunities.
Assisting in designing solutions across public, private and hybrid cloud environments, including cloud migration, modernisation, infrastructure, infra security and DR/BCP.
Work closely with Sales, Product, Delivery, Managed Services, Security, Finance and Bid Management to ensure solutions are technically sound, deliverable and commercially competitive with healthy business margins.
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Assist in developing AI solution architectures, HLD/LLD, data-flow designs, sizing, BoM, costing, implementation roadmaps and proposals for RFI/RFP/tenders.
Design solutions across generative AI, LLMs, machine learning, computer vision, NLP, intelligent automation, conversational AI, agents and predictive analytics.
Architect enterprise AI platforms across public, private and hybrid cloud, including data platforms, training, fine-tuning, inference, RAG, vector databases, APIs and MLOps/LLMOps.
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Assisting in designing solutions across public, private and hybrid cloud environments, including cloud migration, modernisation, infrastructure, infra security and DR/BCP.
Work closely with Sales, Product, Delivery, Managed Services, Security, Finance and Bid Management to ensure solutions are technically sound, deliverable and commercially competitive with healthy business margins.
Engage AWS, Microsoft Azure, Google Cloud, Alibaba, Tencent and other technology partners to develop joint solutions, technical capabilities and go-to-market opportunities.
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Ensuring the accuracy of project balance sheet, income and cash flow statements, and monthly/quarterly forecast and participating in opportunity/risk identification, monitoring risk mitigation measures, and ensuring they are timely implemented.
Promoting commercial awareness in the project team and providing commercial input to the project execution plan (such as T&Cs in supply management, claims, back-to-back conditions).
Ensuring adherence to ABB’s corporate governance, integrity, assurance, internal controls, and business specific finance directives and instructions.
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Reporting to the Managing Director, this role carries full leadership responsibility for driving the growth, profitability and strategic direction of the Business Solutions Managed Services portfolio in Malaysia. The mandate is to lead commercial performance and P&L outcomes, champion digital transformation-led solutions, and partner closely with sales and executive stakeholders to expand market opportunities and solution adoption. Beyond business growth, the role is tasked with elevating operational excellence, building scalable delivery models, shaping consultative engagement with enterprise clients, and developing a high-performing leadership team capable of supporting long-term transformation and sustainable expansion.
• Provide strategic leadership for the team, driving end-to-end growth of the Solutions and Managed Services business across Malaysia
• Own and deliver financial results for the Business Solution team including revenue, profitability, and sustainable business expansion
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Develop AI solution architectures, HLD/LLD, data-flow designs, sizing, BoM, costing, implementation roadmaps and proposals for RFI/RFP/tenders.
Design solutions across generative AI, LLMs, machine learning, computer vision, NLP, intelligent automation, conversational AI, agents and predictive analytics.
Architect enterprise AI platforms across public, private and hybrid cloud, including data platforms, training, fine-tuning, inference, RAG, vector databases, APIs and MLOps/LLMOps.
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Conduct ongoing market intelligence and gather customer requirements through customer visits, prospect engagement and focus groups
Develop the product roadmap for productisation — partnering with product teams to assess feasibility by market segment, sharpen competitive differentiation, and build our own IP
Degree in IT, Multimedia, Computer Engineering, or equivalent. Cybersecurity certifications, MSc, or MBA would be a great advantage
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Develop HLD/LLD, architecture diagrams, sizing, BoM, costing, migration approach and technical proposals for RFI/RFP/tender opportunities.
Design solutions across public, private and hybrid cloud environments, including cloud migration, modernisation, infrastructure, infra security and DR/BCP.
Work closely with Sales, Product, Delivery, Managed Services, Security, Finance and Bid Management to ensure solutions are technically sound, deliverable and commercially competitive with healthy business margins.
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Design solutions across public, private and hybrid cloud environments, including cloud migration, modernisation, infrastructure, infra security and DR/BCP.
Work closely with Sales, Product, Delivery, Managed Services, Security, Finance and Bid Management to ensure solutions are technically sound, deliverable and commercially competitive with healthy business margins.
Engage AWS, Microsoft Azure, Google Cloud, Alibaba, Tencent and other technology partners to develop joint solutions, technical capabilities and go-to-market opportunities.
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Conduct ongoing market intelligence and gather customer requirements through customer visits, prospect engagement and focus groups
Develop the product roadmap for productisation — partnering with product teams to assess feasibility by market segment, sharpen competitive differentiation, and build our own IP
At least 8 years of experience in Cybersecurity commercial and technical domain expertise, spanning network security, application security, database security and cloud security
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Develop AI solution architectures, HLD/LLD, data-flow designs, sizing, BoM, costing, implementation roadmaps and proposals for RFI/RFP/tenders.
Design solutions across generative AI, LLMs, machine learning, computer vision, NLP, intelligent automation, conversational AI, agents and predictive analytics.
Architect enterprise AI platforms across public, private and hybrid cloud, including data platforms, training, fine-tuning, inference, RAG, vector databases, APIs and MLOps/LLMOps.
...
Ensuring the accuracy of project balance sheet, income and cash flow statements, and monthly/quarterly forecast and participating in opportunity/risk identification, monitoring risk mitigation measures, and ensuring they are timely implemented.
Promoting commercial awareness in the project team and providing commercial input to the project execution plan (such as T&Cs in supply management, claims, back-to-back conditions).
Ensuring adherence to ABB’s corporate governance, integrity, assurance, internal controls, and business specific finance directives and instructions.
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Exercise customer-centric business thinking, addressing customer needs ranging from overarching commercial strategy to complex operational, technical integration, and IT security challenges
Conduct market intelligence, competitive analysis, and customer segment profiling to identify new growth opportunities across both public and private healthcare sectors
Lead promotional campaigns, customer workshops, participation in industry congresses, and capability building for local commercial teams to build brand authority in digital health
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