Automation Specialist - Intelligent Automation & AI Remote

Full Description

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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 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 Centers of Excellence.

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 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, TensorFlow or Hugging Face

LLM Platforms: 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 Center of Excellence maturity

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Other

Industries

Machinery Manufacturing

Al Khobar, Eastern, Saudi Arabia

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