Senior Technical Engineer - Solution Architect

Kamayi; Dubai; On-site; AED 156,240 - 189,720; Full time

Benefits offered by this job

Work visa

Air tickets

Medical insurance

Gratuity

Paid time off

Job summary

Kamayi is seeking a Senior Technical Engineer (Solution Architect) in Dubai to spearhead AI-driven proof-of-concept initiatives. Responsibilities include managing solution architecture, translating business requirements, and ensuring agile delivery of technology assessments.

The ideal candidate should have 5–8 years of experience, expertise in cloud solutions, and a strong foundation in AI technologies, ready to drive impactful POCs on-site.

Qualifications

• 5–8 years of relevant experience in a technical engineering role.
• Proficient in solution architecture and cloud services on Azure and/or AWS.
• Experience with AI and agentic AI technologies.

Responsibilities

• Own end-to-end solution architecture for each proof-of-concept.
• Translate business requirements into experiment scopes.
• Set integration and security patterns for rapid POC development.

Skills

Solution architecture on Azure and AWS

AI and agentic AI solution patterns

Integration and API design

Security architecture

Vendor and platform evaluation

Job description

Senior Technical Engineer (Solution Architect)

Location: Dubai, UAE (Client Site)

Salary: AED 14,000 – AED 17,000 / month

Benefits: Work visa, air tickets, medical insurance, gratuity, paid time off

Experience: 5–8 years of relevant experience

We're hiring a Senior Technical Engineer (Solution Architect) to drive AI-focused proof-of-concept work for a corporate IT innovation function, based on business requirements. The role blends solution architecture (target architectures plus integration, data, and security patterns) with POC leadership: taking each experiment from intake to a clear outcome, with a focus on rapid evaluation rather than steady-state delivery or PMO governance.

Key Responsibilities

• Own end-to-end solution architecture for each POC: target-state design, technology stack, and trade-offs.
• Translate business requirements into experiment scope, success criteria, and clear feasibility assessments.
• Set integration, data, and security patterns that let POCs move quickly without breaking enterprise standards.
• Design and evaluate AI and agentic AI solution patterns, selecting models, tools, and orchestration approaches per use case.
• Run technology, vendor, and platform assessments, and present build-vs-buy and go/no-go recommendations to stakeholders.
• Manage each POC end to end with agile delivery: planning, tracking, risks, and stakeholder coordination from intake to outcome.

Required Technical Skills

• Solution and cloud architecture on Azure and/or AWS, covering compute, integration, data, and security services.
• AI and agentic AI solution patterns: LLMs, RAG, tool/function calling, and agent orchestration, with practical model and platform selection.
• Integration and API design with REST and event-driven / message-based patterns, plus data architecture for analytics and AI workloads.
• Security architecture: identity and access management, API security, secrets and key management, and data protection.
• Technology, vendor, and platform evaluation with POC scoping and build-vs-buy analysis.