**Introduction** Are you interested in working in one of the most impactful areas of technology in the world today? Do you want to build generative AI skills while working on a project to transform the most mission-critical IT workloads for organizations that power the global economy? Come join the team that is at the intersection of cutting-edge gen AI and mainframe software development, a key strategic pillar for IBM. **Your role and responsibilities** Are you passionate about building scalable backend systems and enabling cutting-edge AI solutions? Join IBM Watsonx Code Assistant for Z, where you'll work at the intersection of generative AI and mainframe modernization. In this role, you’ll define best practices and strategies for creating, testing, and refining prompts to maximize AI capabilities across WCA4Z. You’ll work closely with cross-functional teams, including researchers, engineers, and product managers, to develop tools and frameworks for scalable AI-driven solutions. As an AI Architect, you will: * Analyze and refine prompts to enhance AI performance, focusing on clarity, context, and task alignment. * Collaborate with research to fine-tune AI models, ensuring they align with business objectives and user needs. * Analyze and align AI models with real-world scenarios and user needs to deliver contextually accurate and impactful solutions. * Define, design, and evolve agent-based solutions that allow users to interact seamlessly with AI systems. * Develop best practices and guidelines for effective prompt engineering, ensuring consistency across projects and teams. * Provide technical leadership and mentorship to engineering teams, guiding them on the effective use of prompts in AI applications. * Partner with product managers and stakeholders to identify high-impact use cases where prompt optimization can drive significant improvements. Why This Role is Unique: · Shape the Future of AI and Mainframes: You'll be part of a team building the platform that powers AI-driven tools to modernize mainframe systems, a critical backbone for enterprises worldwide. · Impact at Scale: The work you do will impact some of the largest enterprise workloads globally, bridging mainframe reliability with next-gen innovation. · Grow with a Forward-Looking Team: Join a dynamic team working on strategic, industry-leading solutions with opportunities to grow and innovate alongside experts in AI and platform engineering. **Required technical and professional expertise** * Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field. * Proven experience working with large language models (LLMs) * Expertise in prompt engineering and natural language processing (NLP) techniques. * Proficiency in programming languages such as Python and experience with AI/ML libraries. * Strong knowledge of scenario alignment and strategies for adapting AI models to diverse use cases. * Strong knowledge of AI model evaluation techniques and prompt optimization strategies. * Hands-on experience with automation pipelines and tools for testing and deploying AI solutions. * Excellent problem-solving skills and the ability to work collaboratively in a cross-functional environment. **Preferred technical and professional experience** * Experience with cloud platforms such as AWS, Azure, or IBM Cloud for deploying AI systems. * Familiarity with containerization technologies like Docker and Kubernetes. * Knowledge of CI/CD pipelines for AI/ML models. * Experience in developing tools for automating prompt testing and evaluation. * Understanding of user experience (UX) principles in AI applications. * Familiarity with Agile development methodologies.