Advisory AI Engineer

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 Solutions: Design, develop, and deploy AI systems to solve real-world business problems in various industries, utilizing the IBM watsonx platform to create trusted end-to-end AI solutions.

• Cover AI Solution Lifecycle: Manage all stages of the AI solution lifecycle, including Data Engineering, Train, Validate, Tune, Deploy, AI Operations, and AI Governance.

• Create Business-Focused Applications: Create native applications, dashboards, web-apps, or APIs that meet business needs and provide value to clients.

• Solve Real-World Problems: Engage in developing and deploying AI systems to solve complex business problems in a wide array of industries around the globe.

Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

• AI Solution Development Experience: Experience with designing, developing, and deploying AI systems to solve real-world business problems, utilizing platforms like IBM watsonx.

• AI Solution Lifecycle Management: Experience in managing all stages of the AI solution lifecycle, including Data Engineering, Train, Validate, Tune, Deploy, AI Operations, and AI Governance.

• Business Application Development: Experience with creating native applications, dashboards, web-apps, or APIs that meet business needs and provide value to clients.

• Industry-Specific Problem Solving: Experience in developing and deploying AI systems to solve complex business problems in various industries.

• End-to-End AI Solution Creation: Experience with creating trusted end-to-end AI solutions using platforms like IBM watsonx.

Preferred technical and professional experience

• Familiarity with Industry Solutions: Experience with industry-specific AI solutions, having worked on projects that involve creating and deploying AI systems to solve complex business problems in various sectors.

• Knowledge of Emerging Technologies: Exposure to emerging technologies and trends in AI, staying up-to-date with the latest advancements in the field and applying this knowledge to improve AI solution development.

• Understanding of Cloud Platforms: Experience working with cloud platforms, particularly in relation to AI solution deployment and management, including the integration of AI systems with cloud-based services.