Overview
Emerging Technology Services Engineer Jobs in Riyadh, Riyadh, Saudi Arabia at Datamatics Technologies
Title: Emerging Technology Services Engineer
Company: Datamatics Technologies
Location: Riyadh, Riyadh, Saudi Arabia
Job Title: Emerging Technology Services Engineer
Experience: 6–11 Years
Location: Riyadh (Onsite)
Employment Type: Full-Time
Job Overview
We are seeking an experienced Emerging Technology Services Engineer with 6–11 years of experience to drive innovation initiatives, evaluate emerging technologies, and develop proof-of-concepts (PoCs) that support business transformation. The ideal candidate will have hands-on experience in AI/ML experimentation, cloud-native technologies, automation, orchestration, and innovation enablement, with the ability to translate new technologies into scalable business solutions.
Key Responsibilities
- Research, evaluate, and implement emerging technologies to address business and technical challenges
- Design, develop, and deliver AI/ML Proof of Concepts (PoCs) to validate new ideas and technologies
- Build cloud-native solutions that are scalable, resilient, and secure
- Design and implement automation and orchestration solutions to improve operational efficiency
- Collaborate with engineering, architecture, product, and business teams to identify innovation opportunities
- Assess technology trends and recommend adoption strategies aligned with organizational objectives
- Develop prototypes and pilot solutions to demonstrate business value
- Document solution architectures, technical findings, and best practices
- Mentor technical teams on emerging technologies and innovation frameworks
- Participate in architecture reviews and technology governance initiatives
Required Technical SkillsArtificial Intelligence & Machine Learning
- Hands-on experience with AI/ML PoC development
- Experience with machine learning model development, evaluation, and deployment
- Familiarity with Generative AI, Large Language Models (LLMs), and AI frameworks is preferred
Cloud & Cloud-Native Technologies
- Strong experience with cloud-native exploration and solution development
- Hands-on experience with AWS or Microsoft Azure or Google Cloud Platform (GCP)
- Experience with microservices, containers, and Kubernetes is preferred
Automation & Orchestration
- Strong experience in automation and orchestration using modern enterprise tools and scripting frameworks
- Experience building automated deployment, provisioning, and operational workflows
- Knowledge of Infrastructure as Code (IaC) is an advantage
Innovation & Emerging Technologies
- Experience driving innovation enablement through technology assessments, rapid prototyping, and pilot implementations
- Ability to evaluate emerging technology trends and recommend enterprise adoption strategies
- Experience working with innovation labs, R&D initiatives, or digital transformation programs is preferred
Qualifications
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field
- 6–11 years of professional experience in software engineering, cloud technologies, AI/ML, or emerging technology initiatives
- Strong analytical, problem-solving, and solution design capabilities
- Excellent communication and stakeholder management skills
- Experience working in Agile/Scrum environments
Preferred Skills
- Experience with DevOps and CI/CD pipelines
- Knowledge of API integrations and event-driven architectures
- Exposure to data engineering and analytics platforms
- Familiarity with cybersecurity best practices for cloud-native applications
- Cloud certifications and AI/ML certifications are a plus
Key Technology Stack
- Artificial Intelligence: AI/ML PoC development and Generative AI or Large Language Models (LLMs)
- Cloud: AWS or Microsoft Azure or Google Cloud Platform (GCP) and cloud-native architectures
- Automation: Automation and orchestration and Infrastructure as Code (Preferred)
- Containers: Docker and Kubernetes
- DevOps: CI/CD pipelines and Git-based version control
- Innovation: Innovation enablement and rapid prototyping and technology evaluation and proof-of-concept development
