Incubation Engineer - Generative AI & Knowledge Graphs for Networks

Seeking new possibilities and always staying curious we are a team dedicated to creating the world’s leading AI-powered cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers so the door is always open for those who want to grow their career.

IBM’s product and technology landscape includes Research Software and Infrastructure. Entering this domain positions you at the heart of IBM where growth and innovation thrive

Your Role and Responsibilities
As an Incubation Engineer & AI Solutions Architect you will be responsible for understanding new and future use-cases in the market and prototype them. The candidate is expected to have a good overview of AI Networking use-cases and also be a hands-on technical engineer. The candidate will also be collaborating with other groups in IBM in analyzing and testing various hypothetical possibilities and come out with inputs feeding into the prototype development. For this specific role the candidate is expected to have deep hands-on experience in building AI applications possess a solid understanding of Generative AI models and also have a deep understanding about Knowledge Graphs.

As an Incubation Engineer you will be expected to:

• Understand customer’s technical requirements & be the voice of the customer user personas
• Build Proof-of-Concept pods & demonstration test beds
• Suggest solution architectures based on IBM’s larger portfolio
• Document solutions and produce white-papers
• Prepare customer facing technical presentations & conduct product adoption workshops with end-user personas
• Drive grouping and prioritization of customer requirements
• Work with the sales teams and customers to ensure products continually meet market requirements while maintaining business objectives
• Gather and analyze all available research and data sources to continually refine and improve all aspects of the product

General expectations

• Experience with Telco and Edge environments including networks and infrastructure management
• Be hands on in various cloud and enterprise networking scenarios such as building networks deploying controllers and demonstrating solutions
• Be comfortable in automating scenarios using one or more scripting languages. Be comfortable in Infra Automation packages such as Terraform or Ansible
• Be comfortable in understanding various routing protocol and security configurations
• Coordinate with Product Management Sales and Marketing teams to develop technical solution documents such as design documents white papers and presentations
• Monitor competitor capabilities and produce comparative research reports
• Be comfortable in learning and trying out new solutions

Required Technical and Professional Expertise

• Overall 8+ years of experience with 5+ years on engineering / prototype development / solution architecture.
• 5+ years of relevant experience in framing solutions for Telco’s & Enterprises for SDN/NFV requirements
• Strong telecommunications knowledge with Proficient understanding of Virtualization NFV/SDN Network Slicing Open stack Kubernetes & Public Cloud Networking environments etc.
• Hands-on Experience with ML & AI model integrations. Strong understanding of Knowledge Graphs & the application of KGs in AI use-cases
• Ability to manage all associated activities throughout Product life cycle in collaboration with other functional groups (Sales marketing Finance Engineering Services Partners etc)

Preferred Technical and Professional Expertise

• None