IBM Incubation Engineer - Generative AI & Knowledge Graphs Networks 

United States, North Carolina 

680754863

Your Role and Responsibilities

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