Automation Specialist - Intelligent Automation & AI (Remote)

الشركة السعودية لمعدات الديزل المحدودة; Al Khobar; Remote; SAR 120,000 - 150,000; Full time

Job summary

A leading automation solutions provider in Saudi Arabia is looking for an experienced automation specialist to drive enterprise-wide automation transformation. The role involves designing and implementing intelligent automation solutions that deliver measurable business value, as well as managing relationships with vendors. The ideal candidate should have at least 3 years of relevant experience, including hands-on implementation capability. Competitive salary and benefits offered with opportunities for growth.

Qualifications

• 3+ years in enterprise automation, RPA, or AI/ML implementations.
• Over 2 years designing and developing solutions using Agentic and Multi-Agent AI frameworks.
• Experience establishing automation programs or Centers of Excellence.

Responsibilities

• Identify and prioritize automation opportunities across the organization.
• Design end-to-end automation solutions from concept to production.
• Manage vendor relationships and technology partnerships.

Skills

Enterprise automation

RPA

AI/ML implementations

Stakeholder management

Change leadership

Technical implementation

Strategic thinking

Education

Bachelor's degree in computer science

Relevant certifications in automation

Tools

Power Automate

UiPath

Power BI

SQL

Docker

Job description

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 CoEs.
• Demonstrated ability to deliver measurable business value (cost savings, efficiency gains).
• 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 and UiPath
• Workflow Orchestration: Power Automate, Camunda, Airflow, or similar
• Low-Code / No-Code Application: PowerApps, Zoho Creator, or similar
• Business Automation: Microsoft Power BI and Tableau
• Voice Agents: VAPI, PolyAI, or similar
• Programming Languages: Python, Bash or similar
• AI & Machine Learning: Frameworks such as PyTorch or TensorFlow 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 and NoSQL fundamentals
• Cloud Platforms: AWS, Azure, or similar
• Containers: Docker, Kubernetes, or similar
• CI/CD & Version Control: GitHub 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