AI Solutions Engineer (Client Facing Experience Required)
Role Overview
Join the Dubai AI team to turn client requirements into working solutions on the employer's Agentic AI platform.
This client-facing role combines platform configuration, client management, and delivery coordination with Product, AI, and Engineering.
The work type is full-time and work-from-office; production coding is not required.
Key Skills for This Role
Full Job Posting
Role overview
Join the Dubai AI team to turn client requirements into working solutions on the employer's Agentic AI platform.
This client-facing role combines platform configuration, client management, and delivery coordination with Product, AI, and Engineering.
The work type is full-time and work-from-office; production coding is not required.
Responsibilities
- Own client relationships, lead check-ins, and coordinate responses to questions, issues, and escalations.
- Lead discovery and define business goals, processes, users, data, integrations, constraints, and measurable success criteria.
- Translate needs into agent use cases, workflow maps, user stories, and acceptance criteria, including tool actions, exceptions, and human handoffs.
- Configure and test agents, prompts, workflows, and platform integrations; refine configurations based on agreed requirements.
- Coordinate feature scope, feasibility, progress, and delivery with Product, AI, and Engineering.
- Coordinate onboarding, integration dependencies, UAT, issue resolution, sign-off, training, and go-live readiness.
- Track post-launch feedback, adoption, agent performance, and client satisfaction; prioritize improvements.
- Set expectations on AI capabilities, limitations, scope, and timelines, validating feasibility before making commitments.
Requirements
- Requires 2–5 years in solutions consulting, business analysis, implementation, or technical customer success, with client-relationship and delivery ownership.
- Requires translating business needs and ambiguous requests into clear requirements, process flows, and testable outcomes.
- Requires functional understanding of LLMs and AI agents, including prompting, knowledge retrieval, tool use, guardrails, and human oversight.
- Requires platform configuration and testing skills and working knowledge of APIs, authentication, webhooks, and business-system integrations.
- Requires strong client communication, expectation management, organized follow-through, and clear documentation.
Bonus experience
- Bonus: delivering Agentic AI, conversational AI, voice agents, or workflow automation to business clients.
- Bonus: hands-on no-code or low-code workflow tools; enterprise SaaS implementations or UAE/GCC clients; startup experience.
Compensation
- Pay is up to AED 11,000 per month.
Workplace
- The role is based in Dubai and is work-from-office; the description also states work location is in person.
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