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Emerging Technology Services Engineer
Riyadh, Riyadh Province, Saudi Arabia · Tempo total
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- Experiência
- 6–11 yrs
- Salário
- —
- Vagas
- 1
- Publicado
- há 3 horas
- Modo de trabalho
- No escritório
- Educação
- Bachelor's degree in Computer Science or related field
- Retomar
- Obrigatório candidatar-se
Onde você trabalhará
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About the Role
We are looking for a seasoned Emerging Technology Services Engineer with 6 to 11 years of professional experience, based in Riyadh, Saudi Arabia. This full-time onsite position involves leading innovation efforts by researching and applying advanced technologies to transform business processes and create scalable solutions. The successful candidate will be deeply involved in AI/ML experimentation, cloud-native developments, automation strategies, and enabling innovation within the organization.
Key Responsibilities
- Conduct research and evaluate new, emerging technologies to solve both technical and business challenges.
- Create and deliver AI and machine learning proof-of-concepts to test innovative ideas.
- Develop scalable, resilient, and secure cloud-native applications.
- Design and implement automation and orchestration systems to enhance operational efficiency.
- Collaborate with cross-functional teams including engineering, product, and architecture to uncover innovation opportunities.
- Stay abreast of technology trends and recommend strategic adoption aligned with company goals.
- Build prototypes and pilot projects that demonstrate tangible business benefits.
- Document architectures, technical insights, and best practices for future use.
- Mentor team members on emerging technologies and innovation methodologies.
- Participate in architecture reviews and support technology governance processes.
Required Skills and Qualifications
- Proven hands-on experience developing AI/ML models and proof-of-concepts.
- Familiarity with Generative AI and Large Language Models is advantageous.
- Strong expertise in cloud-native solutions using AWS, Microsoft Azure, or Google Cloud Platform.
- Experience with microservices, container technologies such as Docker and Kubernetes is preferred.
- Solid background in automation and orchestration with modern enterprise tools and scripting.
- Knowledge of Infrastructure as Code is a plus.
- Experience in driving innovation through rapid prototyping and assessment of emerging technologies.
- Prior involvement in innovation labs, R&D or digital transformation initiatives is desirable.
- Bachelor’s degree in Computer Science, Software Engineering, IT, or related field.
- At least 6 to 11 years of relevant professional experience.
- Strong analytical and problem-solving skills paired with effective communication and stakeholder engagement capabilities.
- Experience working in Agile or Scrum development environments.
Additional Preferred Expertise
- Knowledge of DevOps practices and experience with CI/CD pipelines.
- Understanding of API integrations and event-driven architecture concepts.
- Exposure to data engineering and analytics platforms.
- Familiar with cybersecurity practices related to cloud-native apps.
- Cloud and AI/ML certifications add value.
Technology Stack
- AI/ML PoC development, Generative AI, Large Language Models (LLMs)
- Cloud platforms: AWS, Azure, GCP with cloud-native architecture experience
- Automation and orchestration including Infrastructure as Code
- Containerization with Docker and Kubernetes
- DevOps with CI/CD pipelines and Git version control
- Innovation enablement through rapid prototyping and technology evaluation