Solution Architect

Job Description

At IBM, Solution Architects work to understand client needs and then create complex high-quality solutions that make a meaningful impact. You will be responsible for overall leadership and delivery of the solutions from requirement gathering through implementation. You will 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 business needs and technical requirements, then apply AI solutions to address those needs. This role specifically requires 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 in workshops to help customers understand the advantages of proposed solutions and best practice approaches to Agentic AI, including prompt engineering, chatbot development, and search/information retrieval.

Required background:

• 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 (Java, Python)
• Good communication and writing skills
• Ability to understand customer requirements and pain points and apply AI to best address them
• Bachelor Degree in AI or related STEM field
• Experience with Data Science and traditional AI/ML modeling evaluation (classification, regression)
• Understanding of AI Governance
• Experience in solution architectures