Technical Account Manager Architect
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- Software Engineering
- Professional
Technical Account Manager Architect
Introduction
At IBM, work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so, lets talk.
Your Role and Responsibilities
As a Technical Account Manager (TAM) Architect at
GCLD24
At IBM, work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so, lets talk.
Your Role and Responsibilities
As a Technical Account Manager (TAM) Architect at
GCLD24
Required Technical and Professional Expertise
- 5+ yrs. Experience in technical service/relationship management.
- 5+ yrs. Experience in customer facing role or professional consulting role.
- Fundamental knowledge/overview of industry Cloud technologies.
- Knowledge and experience with Cognitive/AI concepts such as Natural Language Processing (NLP), Dialog, Entity/Intent Management, Machine Learning Annotators, Deep QA, Ingestion, Structured/Unstructured Lookups
- Experience with Relational Databases (IBM DB2, Oracle) as well as NoSQL (MongoDB, Postgres)
- Programming experience with Java, Go, or Python
- Experience in providing reporting and data analysis for Executive and non-Executive audiences
- Excellent problem-solving skills with the ability to troubleshoot complex situations
- Outstanding communication, presentation, and interpersonal skills with the ability to explain technical concepts/issues, their implications and path-to-resolution to both technical and non-technical stakeholders.
- Ability to work independently and manage multiple clients and issues simultaneously.
- Experience of foundational project management and agile methodologies
Preferred Technical and Professional Expertise
- Prior experience creating solutions using watsonx or equivalent machine learning platforms.
Minimum Preferred Education:
- Bachelor’s degree in Computer Science, Information Technology, Electrical/Computer Engineering, Data Science or a similar field
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