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Are you looking to kick-start your career in technology with a structured development path and fast-track growth opportunities? Our IBM Tech Sales Accelerator Program is designed for ambitious graduates, offering hands-on training, mentorship, and real-world experience within IBM Client Engineering. As an AI Engineer within our Client Engineering team, you’ll harness your unique skills and perspectives to engage in the development and deployment of AI systems using our Data & AI platform, creating pilots for clients, and contributing to IBM’s story of growth and innovation.
Over 12-24 months, you will work in multi-disciplinary pre-sales team, gaining critical skills before transitioning into your next career step as Partner/Brand Technical Specialist.
As Client Engineering, our main goal is developing trusted relationships and accelerate the go to market of IBM solutions through co-creation with our clients.
In this context you’ll work with innovative partners to shape the future of our technology landscape, creating pilots for clients, and contributing to IBM’s story of growth and technology innovation across traditional and Generative AI, Machine Learning, Operations Research, AI Governance and many more.
Develop pilots to validate and highlight the feasibility and effectiveness of proposed hybrid-cloud solutions. This follows IBM Client Engineering’s Pilot Engineering Method, a human- and design-led approach that solves complex business problems with transformative technology. Through co-creation methodology, we collaborate with clients to develop Proof of Experiences (PoXs) using IBM’s portfolio, spanning observability, automation, transaction processing, AI, and security. The goal is to transform customer needs in a tangible solution working closely with clients, partners and IBM’s teams.
Collaboration and Project Management: Collaborate with cross-functional teams and business partners, including other Platform Engineers, AI engineers and project managers, to ensure smooth execution and successful delivery of Automation and AI solutions. Effectively communicate project progress, risks, and dependencies to stakeholders.
Solution Implementation and Deployment: Oversee the implementation and deployment of AI Pilots, working closely with development teams to ensure adherence to best practices, quality standards, and performance requirements. Provide technical guidance and support during the implementation phase.
Provide technical support during the solution development phase and offer guidance on AI-related best practices and use cases.
Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Possess a Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Artificial Intelligence, Mathematics, Physics, or a related field.
Good understanding of foundation models, large language models, machine learning, deep learning algorithms and the application of technology for the governance of data and models.
Proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Familiarity with cloud platforms (e.g. IBM, Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience with Python backend API frameworks such as FastAPI, as well as containerization tools like Docker or Podman, is considered a plus.
Engage with stakeholders for analysis and implementation. Team player with a collaborative spirit, able to work across multiple functions and levels within IBM and partners.
First experience with IT and/or Sales.
IBM is seeking a dynamic, enthusiastic, and results-oriented individual with a profound passion for AI and Data Science.
The ideal candidate is also able to leverage state-of-the-art AI frameworks and engineering practices to design, build, and deploy scalable machine learning and foundation model solutions across hybrid cloud environments. Familiarity with MLOps pipelines, model serving and monitoring, data versioning, and responsible AI principles is a plus. Any hands-on experience with AI/ML services from major cloud providers is greatly appreciated.
