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 CoEs

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

UiPath

Workflow Orchestration

Power Automate

Camunda

Airflow

or similar

Low-Code / No-Code Application

PowerApps

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 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

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

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