AI Strategic Consultant

Excelon Solutions; Town of Texas (WI); On-site; USD 180,000 - 240,000; Full time

Job summary

Excelon Solutions in Wisconsin seeks an experienced AI Solution Strategic Consultant to design and deliver scalable AI solutions aligned with business objectives. You will identify AI opportunities, define use cases, evaluate solutions, and translate business needs into practical AI architectures.

The role requires hands-on capability to write code or create architecture diagrams, plus strong client-facing communication and stakeholder management.

Qualifications

• 15+ years of technology/solution architecture experience.
• Strong expertise in AI/ML and Generative AI.
• Hands-on and capable of writing code or drawing architecture diagrams.

Responsibilities

• Identify relevant AI/GenAI use cases with business value.
• Define use cases, functional requirements, and solution approaches.
• Evaluate potential AI solutions and translate business needs into AI architectures.
• Demonstrate significant AI projects with architecture decisions and outcomes.
• Communicate with clients and manage stakeholders effectively.

Skills

AI/ML

GenAI

LLMs

RAG

APIs

Cloud

Enterprise architecture

Job description

We are seeking an experienced AI Solution Strategic Consultant to design and deliver scalable AI solutions aligned with business objectives. The ideal candidate will have strong experience identifying AI opportunities, defining relevant use cases, evaluating potential solutions, and translating business needs into practical AI architectures.

Key Responsibilities & Requirements:

15+ years of technology/solution architecture experience, with strong expertise in AI/ML and Generative AI.

• Demonstrate strong knowledge of AI concepts, technologies, capabilities, limitations, and enterprise applications.
• Identify and discuss relevant AI/GenAI use cases, including business problem, functional requirements, solution approach, and business value.
• Demonstrate 3 significant projects, clearly explaining the project flow, functional requirements, technology used, AI implementation, solution design, and outcomes.
• Clearly articulate the candidate’s specific role, technical contributions, architecture decisions, and challenges addressed in each project.
• Strong understanding of LLMs, RAG, AI Agents, APIs, data platforms, cloud, integration, and enterprise architecture.
• Ability to translate requirements into AI solution designs, architecture diagrams, project flows, and implementation roadmaps.
• Must be hands-on and prepared to write code and/or draw architecture/design diagrams using technologies mentioned in their experience.
• Strong client-facing communication, problem-solving, and stakeholder-management skills.