Position Assessment and Talent Intelligence solutions by connecting platform capabilities to client business outcomes.
Explain how assessment, competency frameworks, talent analytics and skills intelligence support better decision-making in talent management and learning strategy.
Recommend suitable solution approaches including pilot design, assessment scope, target audience, expected outcomes and implementation considerations.
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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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"Replace on failure" and non-planned remediation architecture: Define technical standards and governance for emergency replacements and quality enhancements due to unexpected site changes, room remodels, device/peripheral failures, or accessory requirements.
Monitor & proactive operations enablement: Expand monitoring approaches and define quality/performance telemetry standards to address support gaps and reduce escalations.
Network and SD‑WAN dependency management (room readiness): Architect readiness and validation patterns for network changes that impact VC rooms (e.g., SD‑WAN upgrades requiring on‑site testing of all units; dynamic implementation dates; site testing quantities and readiness discipline).
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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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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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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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"Replace on failure" and non-planned remediation architecture: Define technical standards and governance for emergency replacements and quality enhancements due to unexpected site changes, room remodels, device/peripheral failures, or accessory requirements.
Monitor & proactive operations enablement: Expand monitoring approaches and define quality/performance telemetry standards to address support gaps and reduce escalations.
Network and SD‑WAN dependency management (room readiness): Architect readiness and validation patterns for network changes that impact VC rooms (e.g., SD‑WAN upgrades requiring on‑site testing of all units; dynamic implementation dates; site testing quantities and readiness discipline).
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Design and articulate how Aonic software architecture, including the Aonic Arc command-and-control platform, integrates with client applications and IT environments: cloud versus on-premise deployment, server setup, digital twin workflows, dashboards, and API/data integration with client systems.
Advise clients and their IT teams on network and infrastructure requirements for deployments, including connectivity (Wi-Fi/4G/5G), network security constraints, remote streaming, and centralized fleet operations.
Plan and lead product demonstrations (drone dock operations, robotics demos via remote controller and HDMI live streaming, and software walkthroughs), and maintain demonstration readiness, equipment, and backup material.
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"Replace on failure" and non-planned remediation architecture: Define technical standards and governance for emergency replacements and quality enhancements due to unexpected site changes, room remodels, device/peripheral failures, or accessory requirements.
Monitor & proactive operations enablement: Expand monitoring approaches and define quality/performance telemetry standards to address support gaps and reduce escalations.
Network and SD‑WAN dependency management (room readiness): Architect readiness and validation patterns for network changes that impact VC rooms (e.g., SD‑WAN upgrades requiring on‑site testing of all units; dynamic implementation dates; site testing quantities and readiness discipline).
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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.
...
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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Ensure claims are processed within defined turnaround time (TAT), productivity, and quality benchmarks, balancing speed with accuracy and service excellence.
Identify, investigate, and escalate potential fraud, abuse, or leakage risks, working closely with the Fraud Investigation Unit and relevant stakeholders to support effective risk mitigation.
Manage claims requiring additional information by preparing clear, professional, and compliant correspondence to claimants, healthcare providers, and third parties, ensuring timely follow‑ups and resolution.
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