Description
An AI Engineer at IBM is not just a job title - it's a mindset. You'll leverage the WCA4Z - IBM watsonx™ Code Assistant for Z -assisted product built to accelerate mainframe application modernization at lower cost and with less risk than today’s alternatives. This product provides an end-to-end application developer lifecycle that includes application discovery and analysis, automated code refactoring and COBOL to Java conversion. Developers can automatically refactor selected elements of an application and continue modernizing in COBOL, or selectively transform code to Java leveraging generative AI using a highly tuned state-of-the-art large language model.
As AI Engineer, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges.
Day-to-Day Duties:
As AI Engineer, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges.
Day-to-Day Duties:
- Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
- Help in showcasing the ability of IBM watsonx code assistant for Z to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/POC.
- Documentation and knowledge sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members.
- Industry trends and innovation: stay up to date with the latest trends and advancements in AI foundation models, and large language models.
- Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation.
IBM
Business Development
Business Information Systems
CRM
Data Management
Software
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