Customer Engineering / Solutions Architect (AI, Edge & Cloud) - UAE
Qualcomm
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Benefits offered by this job
Job summary
Qualcomm Engineering FZ LLC in Abu Dhabi is seeking a seasoned Solutions Architect to drive adoption of AI-powered solutions across the Middle East. You will design end-to-end intelligent systems spanning edge devices, IoT, cloud, and AI/ML workloads, shaping large-scale transformational projects.
The role demands leadership in customer engagements, architecture reviews, and roadmap development, with emphasis on scalable, secure, and hybrid cloud architectures.
Qualifications
- Bachelor's degree in engineering, information systems, computer science, or related field with 4+ years of software experience.
- Master's degree in engineering, information systems, computer science, or related field with 3+ years of software experience.
- PhD in engineering, information systems, computer science, or related field with 2+ years of software experience.
Responsibilities
- 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.
- Lead technical workshops, architecture reviews, and executive-level discussions.
Skills
Education
Job description
Qualcomm Engineering FZ LLC
Engineering Group, Engineering Group > Software Engineering
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.
- 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.
- Strong experience in:
- Solution Architecture
- AI/ML Systems
- Edge Computing
- Cloud Platforms (AWS, Azure, GCP)
- IoT Platforms
- Distributed Systems
- Data Engineering
- Software Architecture
- 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
- 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.
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.
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.
- 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
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
- Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
- 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 disability-accomodations@qualcomm.com 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.
If you would like more information about this role, please contact Qualcomm Careers.
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