Advisory AI Engineer

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.

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.
• 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.
• 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. India Sales Hybrid Professional Bangalore, IN