Introduction
At IBM, Solution Architects work to understand needs and then create complex high-quality solutions that make meaningful impact. You’ll be responsible for overall leadership and delivery of the solutions from requirement gathering through implementation. You’ll use your in-depth knowledge of leading-edge products and technologies along with industry and business skills to influence outcomes.
Introduction
At IBM, Solution Architects work to understand needs and then create complex high-quality solutions that make meaningful impact. You’ll be responsible for overall leadership and delivery of the solutions from requirement gathering through implementation. You’ll use your in-depth knowledge of leading-edge products and technologies along with industry and business skills to influence outcomes.
Your Role And Responsibilities
The Solution Architect is responsible for working closely with customers to understand mission-critical company directives and develop technical solutions to support the business needs and technical requirements, then apply AI solutions to address the needs. This role is specifically required to use a mix of consultative skills, technical expertise, and the latest IBM AI software to guide customers in building solutions involving agentic AI.
This Includes
- Reviewing customers’ environment to ensure it meets all pre-requisites
- Helping define customers’ Agentic AI use cases
- Helping assess customers Agentic AI application requirements
- Assisting customers with designing and implementing Agentic AI applications
- Throughout the solutioning process, the Solution Architect will participate workshops to help customers understand advantages of proposed solutions and best practice approaches to Agentic AI including prompt-engineering, chatbot development, and search/information retrieval.
Preferred Education
Bachelor’s Degree
Required Technical And Professional Expertise
- Background (courses or work experience) in LLM AI models and platforms (e.g. watsonx.ai).
- Background (courses or work experience) with conversational and agentic AI.
- Background (courses or work experience) with software development
- Seeking B.S. or M.S. degree in AI or related STEM field.
Preferred Technical And Professional Experience
- Skills with Data Science and traditional AI/ML modeling evaluation (classification, regression)
- Understanding of AI Governance
- Experience in solution architectures
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