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Tanqeeb in Dubai seeks an AI Solutions Engineer to turn client requirements into working solutions on our Agentic AI platform. This client-facing role combines platform configuration, client management and delivery coordination with Product, AI, and Engineering.
You will own day-to-day client relationships, lead discovery sessions, translate requirements into use cases and acceptance criteria, configure agents and workflows, and coordinate onboarding, testing and go-live readiness.
Location: Dubai | Experience: 2 to 5 years | Work Type: Full-time, Work From Office (WFO)
Join our Dubai AI team to turn client requirements into working solutions on our Agentic AI platform. This client-facing role combines platform configuration, client management and delivery coordination with Product, AI and Engineering.
Own day-to-day client relationships, lead regular check-ins and coordinate responses to questions, issues and escalations. Lead discovery sessions to understand business goals, current processes, users, data, integrations and constraints; agree on measurable success criteria. Translate requirements into clear agent use cases, workflow maps, user stories and acceptance criteria, including tool actions, exceptions and human handoffs. Configure agents, prompts, workflows and available integrations on our AI platform; test behavior against agreed requirements and refine configurations. Coordinate new feature requirements with Product, AI and Engineering: clarify scope, confirm feasibility, track progress and validate delivery against client needs. Coordinate onboarding, integration dependencies, user acceptance testing (UAT), issue resolution, client sign-off, training and go-live readiness. Track post-launch feedback, adoption, agent performance and client satisfaction; turn findings into prioritized improvements with internal teams. Manage expectations on AI capabilities, limitations, scope and timelines, confirming feasibility with technical teams before making commitments.
2–5 years in solutions consulting, business analysis, implementation or technical customer success, with ownership of client relationships and delivery. Ability to uncover business needs and turn ambiguous requests into clear requirements, process flows and testable outcomes. Functional understanding of LLMs and AI agents, including prompting, knowledge retrieval, tool use, guardrails and human oversight; comfortable configuring and testing platform solutions. Working understanding of APIs, authentication, webhooks and integrations with CRMs, messaging channels or business systems; able to discuss dependencies with engineers. Strong communication and expectation management: confident leading discovery, demos and client discussions, and explaining technical trade-offs in plain language. Organized follow-through, clear documentation and ownership from onboarding through post-launch support. The focus is solution configuration and delivery; production coding is not required.
Bonus Points For Experience delivering Agentic AI, conversational AI, voice agents or workflow automation solutions to business clients. Hands-on use of no-code or low-code tools to configure workflows, test prompts or demonstrate use cases. Experience with enterprise Saa S implementations or clients in the UAE or wider GCC. Startup experience and comfort shaping requirements as a product evolves.