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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

Emerging Technology Services Engineer

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