Lead AI Architect

IBM
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Job Description

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.

Company Info.

IBM

IBM is a leading cloud platform and cognitive solutions company. Restlessly reinventing since 1911, we are the largest technology and consulting employer in the world, with more than 290,000 employees serving clients in 177 countries. IBM Research provides unparalleled insight into business, industry and society by leveraging advanced computing architectures and methodologies to solve some of the world’s most pressing challenges.

  • Industry
    Information Technology,Computer software,Computer hardware
  • No. of Employees
    292,500
  • Location
    New Orchard Road, Armonk, New York, NY 10504, USA
  • Website
  • Jobs Posted

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