The Senior Solution Engineer is responsible for designing, calculating, and presenting end-to-end warehouse automation and material handling solutions tailored to client needs. Sitting in the Solution Department, this role bridges client requirements with engineering execution by developing technical proposals, evaluating automation technologies, and supporting sales through to project handovers..
Responsibilities
Design and develop warehouse automation solutions based on customer requirements and operational data.
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Own the technical expansion strategy for a portfolio of Telco & FSI customers in Malaysia.
Identify new workloads, use cases, and lines of business to land on Snowflake (e.g., risk & compliance, customer 360, network analytics, fraud, revenue assurance, real-time personalization).
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Own the technical expansion strategy for a portfolio of Telco & FSI customers in Malaysia.
Identify new workloads, use cases, and lines of business to land on Snowflake (e.g., risk & compliance, customer 360, network analytics, fraud, revenue assurance, real-time personalization).
...
As part of the Contract Logistics team at Kuehne+Nagel, you will play a key role in designing, managing, and optimizing solutions that keep goods moving efficiently. Whether you’re leading a team, engineering processes, or driving projects, your work ensures that our customers’ products are stored, handled, and delivered with precision. From everyday essentials to seasonal items, what we do in Contract Logistics impacts businesses and communities around the world. At Kuehne+Nagel, your contribution goes far beyond the warehouse—it helps shape the flow of global trade.
Your primary objective is to gain + retain customers by offering industry leading solutions. You will be working with internal + external stakeholders while focusing on the following key objectives:
To lead customer tender projects, driving + offering compelling logistics concepts.
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Support the sales team to secure business prospects and increase the company revenue.
Query prospects to qualify sales opportunities in conjunction with sales team in order to accurately determine product fit, size and probability of success.
Design, develop, deploy, and maintain AI Agents to automate business workflows and operational processes.
Build internal AI assistants capable of handling business tasks such as document processing, knowledge retrieval, customer support, reporting, and workflow orchestration.
Integrate Large Language Models (LLMs) into business applications to enhance productivity and decision-making.
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