Customer Engineering / Solutions Architect (AI, Edge & Cloud) - UAE

Company Qualcomm Engineering FZ LLC Job Area Engineering Group, Engineering Group > Software Engineering General Summary Role Overview We are seeking a highly experienced and entrepreneurial Solutions Architect to drive the adoption of next-generation AI-powered solutions across the Middle East. This role sits at the intersection of Customer Engineering, Solution Architecture, Edge AI, Cloud AI, and Industry Transformation. The successful candidate will work closely with customers, partners, and internal engineering teams to design, architect, and deploy end-to-end intelligent systems spanning edge devices, IoT platforms, cloud infrastructure, AI/ML workloads, robotics, drones, and smart city applications. This is a unique opportunity to shape the future of AI, 6G, edge computing, and connected ecosystems while working on large-scale transformational projects. Key Responsibilities will include End-to-End Solution Architecture • Design and architect end-to-end AI and digital transformation solutions from edge devices to cloud platforms. • Translate customer requirements into scalable technical architectures and deployment strategies. • Drive architecture decisions across hardware, software, connectivity, AI models, cloud services, and system integration. AI & Edge Computing • Enable deployment and optimization of AI/ML workloads across Edge and Cloud environments. • Understand trade-offs involving latency, power consumption, model accuracy, memory constraints, and system performance. • Guide customers on AI model deployment, optimization, quantization, inference acceleration, and system scaling. Customer Engagement & Technical Leadership • Serve as a trusted technical advisor throughout the customer journey, from discovery and PoC to deployment and production scaling. • Collaborate with key stakeholders to define solution roadmaps and success metrics. • Lead technical workshops, architecture reviews, and executive-level discussions. Platform & Cloud Architecture • Architect scalable cloud-native and hybrid solutions supporting millions of connected devices. • Design data pipelines, data lakes, analytics platforms, and AI-enabled backend services. • Develop architectures supporting high availability, security, multi-tenancy, and enterprise-grade scalability. Preferred Qualifications Technical Expertise • Strong experience in: • Solution Architecture • AI/ML Systems • Edge Computing • Cloud Platforms (AWS, Azure, GCP) • IoT Platforms • Distributed Systems • Data Engineering • Software Architecture Desired Background • Experience building and deploying end-to-end intelligent systems spanning Edge, Cloud, and AI. • Demonstrated expertise in customer-facing technical roles such as: • Solutions Architect • Field Applications Engineer • Customer Engineer • Technical Consultant • AI Platform Architect What Will Make You Stand Out • Experience with drones, robotics, smart cities, industrial IoT, or large-scale AI transformation initiatives. • Strong entrepreneurial mindset with a proven ability to build new solutions and influence technical strategy. • Ability to connect technology capabilities with real-world business outcomes. • Arabic language skills are advantageous but not mandatory. Ideal Candidate Profile We're looking for a builder, innovator, and problem-solver who can bridge business needs and advanced technology. The ideal candidate combines deep technical expertise with customer engagement skills and can architect solutions across the complete stack, from edge devices and AI models to cloud platforms and enterprise-scale deployments. Why Join Qualcomm At Qualcomm, you’ll work at the intersection of AI silicon, system architecture, and real‑world deployment. You will engage directly with strategic customers, influence next‑generation AI data center platforms, and help define scalable, power‑efficient infrastructure for the AI era. This role provides a unique opportunity to shape both technology direction and customer outcomes, while working with world‑class engineering and product teams. What's On Offer Apart from working with great people, we offer the below: • Salary including housing & transport allowance • Stock (RSU's) and performance related bonus • 16 weeks fully paid Maternity Leave • 6 weeks fully paid Paternity Leave • Employee stock purchase scheme • Child Education Allowance • Relocation and immigration support (if needed) • Life and Medical Insurance • Live+ Well Reimbursement for health and recreational membership fees Minimum Qualifications • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. • 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. • References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being repres

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field; 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field; 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field; 2+ years of Software Engineering or related work experience. 2+ years of work experience with programming languages such as C, C++, Java, Python, etc.

Design and architect end-to-end AI and digital transformation solutions from edge devices to cloud platforms. Translate customer requirements into scalable technical architectures and deployment strategies. Drive architecture decisions across hardware, software, connectivity, AI models, cloud services, and system integration. Enable deployment and optimization of AI/ML workloads across Edge and Cloud environments. Understand trade-offs involving latency, power consumption, model accuracy, memory constraints, and system performance. Guide customers on AI model deployment, optimization, quantization, inference acceleration, and system scaling. Serve as a trusted technical advisor throughout the customer journey, from discovery and PoC to deployment and production scaling. Collaborate with key stakeholders to define solution roadmaps and success metrics. Lead technical workshops, architecture reviews, and executive-level discussions. Architect scalable cloud-native and hybrid solutions supporting millions of connected devices. Design data pipelines, data lakes, analytics platforms, and AI-enabled backend services. Develop architectures supporting high availability, security, multi-tenancy, and enterprise-grade scalability.