AI Solutions Architect

About the role

Client engagement & discovery — Work directly with internal clients to deeply understand their use cases, identify the core problem and success criteria, and translate requirements into a clearly scoped MVP.

What you'll do

• Partner with IT Director and internal client teams to translate complex business requirements into scalable
• Modernize existing AI workloads — including LangChain/LangGraph pipelines and RAG systems — while establishing a forward-looking architecture practice built on the…
• Act as the technical voice in stakeholder conversations, bridging business need to technical possibility
• Define a roadmap to advance these toward production-grade, observable, and maintainable architectures aligned with enterprise standards
• Ensure AI solutions are auditable and trustworthy at scale

What you need

• 7–13 yrs of experience
• Machine learning
• Python
• LLMs
• Azure
• GCP
• Office 365
• Any graduate

Good to have

• Azure Data Factory
• AWS
• ETL
• ServiceNow
• Power Apps
• Power Automate