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Automation Specialist - Automation & AI; Remote

Remote / Online - Candidates ideally in
Saudi Arabia
Listing for: audi Diesel Equipment Co.Ltd
Remote/Work from Home position
Listed on 2025-11-21
Job specializations:
  • IT/Tech
    AI Engineer, Cloud Computing, Data Engineer
Salary/Wage Range or Industry Benchmark: 200000 - 300000 SAR Yearly SAR 200000.00 300000.00 YEAR
Job Description & How to Apply Below
Position: Automation Specialist - Intelligent Automation & AI (Remote)

Role Overview

Drive enterprise-wide automation transformation by designing and implementing intelligent automation solutions that deliver measurable business value. Lead journeys from process discovery to production deployment, combining RPA, AI, and integration technologies to transform how we operate.

Key Responsibilities Automation Strategy & Delivery
  • Identify and prioritize automation opportunities across the organization.
  • Design and implement end-to-end automation solutions from concept to production.
  • Build hyper-automation solutions combining RPA, AI, and intelligent document processing.
  • Ensure scalability, reliability, and ROI of all automation initiatives.
AI & Innovation
  • Deploy AI/ML solutions for knowledge work augmentation.
  • Implement intelligent document processing for structured and unstructured data.
  • Ensure proper governance, security, and compliance for AI implementations.
  • Evaluate and pilot emerging automation technologies.
Integration & Operations
  • Design seamless integrations between automated processes and enterprise systems.
  • Implement monitoring, logging, and performance optimization.
  • Create reusable frameworks and components for rapid deployment.
  • Manage vendor relationships and technology partnerships.
Leadership & Enablement
  • Discuss and define automation standards, best practices, and governance frameworks.
  • Drive change management and stakeholder adoption.
  • Enable and support leadership to drive the department’s workload.
  • Measure and communicate automation value and benefits.
Required Qualifications Experience
  • 3+ years in enterprise automation, RPA, or AI/ML implementations
  • Over 2 years of experience in designing and developing practical solutions using Agentic and Multi-Agent AI frameworks.
  • Proven track record of delivering production automation at scale
  • Experience establishing automation programs or Co Es
  • Demonstrated ability to deliver measurable business value (cost savings, efficiency gains)
Skills & Competencies
  • Strong technical background with hands‑on implementation capability
  • Excellent stakeholder management and communication skills
  • Ability to translate business requirements into technical solutions
  • Strategic thinking balanced with practical execution
  • Change leadership and organizational influence
Education
  • Bachelor’s degree in computer science.
  • Relevant automation, cloud, or architecture certifications preferred.
Technology Stack RPA Platforms
  • Power Automate
  • Ui Path
Workflow Orchestration
  • Power Automate
  • Camunda
  • Airflow
  • or similar
Low-Code / No-Code Application
  • Power Apps
  • Zoho Creator
  • or similar
Business Automation
  • Microsoft Power BI
  • Tableau
Voice Agents
  • VAPI
  • PolyAI
  • or similar
Programming Languages
  • Python
  • Bash or similar
AI & Machine Learning
  • Frameworks such as PyTorch or Tensor Flow or Hugging Face
  • LLM Platforms such as OpenAI, Azure OpenAI, or similar
  • Basic implementation and integration of AI/ML models
Integration & APIs
  • REST
  • GraphQL
  • Webhooks
  • iPaaS tools such as Boomi to Workato, or similar
Databases
  • SQL
  • PL SQL
  • No

    SQL fundamentals
Cloud Platforms
  • AWS
  • Azure
  • or similar
Containers
  • Docker
  • Kubernetes
  • or similar
CI/CD & Version Control
  • Git Hub Actions
Testing
  • Unit and integration testing practices
Success Metrics
  • Automated processes delivered and adoption rates
  • Business value generated (cost reduction, efficiency improvement)
  • System reliability and performance
  • Stakeholder satisfaction and CoE (Center of Excellence) maturity
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