Datamatics Technologies

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 Skills

Artificial 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