AI Solutions Engineer – AICaaS, Presales & Delivery at DNS Co. W.L.L

Summary

Build and deliver AI agents and GenAI apps using LLMs, RAG, and cloud services; lead presales discovery, architecture, and customer demos.

This Full time on site position offers great opportunities for career growth.

Meet customers together with the AICaaS Function Lead or independently when delegated.
Conduct technical discovery sessions and convert business requirements into AI use cases, solution requirements, and implementation plans.
Support the qualification of AI opportunities and assess their technical feasibility.
Present the technical capabilities, business benefits, solution architecture, limitations, security considerations, and deployment approach to customers.
Act as the controlled technical interface between stc customers and the AI technology vendor.
Track vendor actions, technical issues, delivery risks, and pending requirements.
Review vendor deliverables, configurations, and solution designs before they are presented to customers.
Develop AI agents and Generative AI applications using large language models, retrieval-augmented generation, tool calling, workflow orchestration, and enterprise integrations.
Create conversational AI, voice agents, customer-service agents, and workflow-automation solutions.
Support projects from initial discovery and presales through proof of concept, implementation, production deployment, and post-production support.
Coordinate technical activities between customers, vendors, stc teams, cloud teams, cybersecurity teams, and other stakeholders.

Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, Information Technology, or a related field.
Minimum three years of experience in AI engineering, software development, machine learning, cloud solutions, technical presales, or solution consulting.
Strong Python development skills.
Experience with AWS, Azure, or Google Cloud Platform and their AI services.
Experience developing APIs using FastAPI, Flask, or similar frameworks.

Job Type: Full-time Work Location: In person