Introduction
As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.

Your Role and Responsibilities
As a Generative AI Solution Architect with IBM Consulting, you are primarily responsible for designing and implementing complex GenAI solutions using IBM WatsonX and Ecosystem Partner Stacks (Microsoft Azure / Open AI, AWS, Aleph Alpha, as well as Open Source). In addition you are supporting business development, sales as well as the delivery of consulting and system integration projects in Data & AI for our clients.

• You have end-to-end technical responsibility during the acquisition, design and delivery of technically complex GenAI projects at scale
• You are accountable for the development and productive deployment of scalable Generative AI applications and platforms, particularly within (hybrid) cloud architectures.
• You provide consultation and support to clients and colleagues in architecting and selecting the right technology stack for flexible, scalable, and economical GenAI solutions.
• You guide and support clients and colleagues in the adoption of development and operational processes for AI solutions, such as Agile DevOps, FinOps, Trustworthy AI and MLOps methodologies.
• You stay abreast of the latest developments in the Artificial Intelligence market and research environment, actively participating in knowledge transfer within IBM Consulting, especially when it comes to mentoring junior team members and delivery teams.
• You also develop the strategy, vision, and roadmap for GenAI architectures within our consulting business, contributing to both our immediate sales objectives and long-term business growth.

Required Technical and Professional Expertise

• We are looking for a professional with at least 12-15 years of experience ideally in data and analytics and/or architecture, including 3 years in the design, build, and implementation of AI/Deep Learning & GenAI solutions.

You will also be:

• Experienced in architecting AI solutions and managing delivery of highly technical analytics use cases.
• Conversant with technical stacks used to support Generative AI use cases (AWS, Google, Microsoft, Watson X).
• Familiar with relevant concepts (eg transformer model architectures, prompt engineering, model fine tuning, retrieval augmented generation architectures) and models/technologies (Microsoft Azure / Open AI, AWS, Aleph Alpha, Hugging Face etc as well as Open Source).
• Very good at stakeholder management and influencing skills, consultancy skills a very strong plus.
• Able to convey complex technical concepts to non-technical stakeholders.
• Fluent in English and German (or French).

Interested in the role, but not exactly having all the experience detailed above ? Please feel free to apply or reach out to me, we are sure we have the right mentoring and training available to support you in your journey.


Preferred Technical and Professional Expertise

• None