Introduction At IBM Global Sales, we bring together innovation, collaboration, and expertise to help clients solve their most complex business challenges. Working across industries and geographies, you’ll partner with colleagues, clients, and partners to co-create solutions that drive digital transformation and lasting impact.Success in Global Sales is built on curiosity, empathy, and collaboration. You’ll connect technical understanding with strong people skills, building trusted relationships and shaping solutions that improve business and society. With world-class onboarding, continuous learning, and a supportive culture, IBM offers the tools and opportunities to grow your career. Join us and be part of a global team that’s passionate about driving innovation and making a difference.
Your Role And Responsibilities As a Client Engineering AI Engineer, you will bring solutions together by getting capabilities to the client and creating business-focused native applications, dashboards, web-apps, or APIs. You will develop and deploy AI systems to solve real-world business problems using the IBM watsonx platform. Your primary responsibilities will include:
Develop and Deploy AI Systems: Engage in developing and deploying AI systems to solve real-world business problems in various industries worldwide using the IBM watsonx platform. This involves covering all stages of the AI solution lifecycle.
Create Business-Focused Applications: Design and build native applications, dashboards, web-apps, or APIs that meet business needs and deliver value to clients.
Cover AI Solution Lifecycle: Perform tasks across the AI solution lifecycle, including Data Engineering, Train, Validate, Tune, Deploy, AI Operations, and AI Governance to create a trusted end-to-end AI solution.
Apply IBM watsonx Platform: Utilize the IBM watsonx platform to develop and deploy AI systems that solve real-world business problems.
Required Technical And Professional Expertise Exposure to AI System Development: Familiarity with developing and deploying AI systems to solve real-world business problems using platforms like IBM watsonx.
Experience with Native Application Design: Knowledge of designing and building native applications, dashboards, web-apps, or APIs that meet business needs.
Understanding of AI Solution Lifecycle: Exposure to various stages of the AI solution lifecycle, including Data Engineering, Train, Validate, Tune, Deploy, AI Operations, and AI Governance.
Familiarity with Cloud-Based AI Platforms: Experience working with cloud-based AI platforms, such as IBM watsonx, to develop and deploy AI systems.
Data Engineering Fundamentals: Basic understanding of data engineering principles and practices to support AI system development and deployment.
Preferred Technical And Professional Experience Cloud-Based AI Platforms: Experience working with cloud-based AI platforms beyond IBM watsonx is beneficial for developing and deploying AI systems.
Advanced Data Engineering: Exposure to advanced data engineering principles and practices can support AI system development and deployment.
Industry-Specific AI Solutions: Familiarity with developing AI solutions for specific industries can enhance the ability to solve real-world business problems.
To apply for this job please visit careers.ibm.com.
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