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Intelligent Automation Consultant Jobs (NOW HIRING)

ProSidian Consulting

RPA Developer

Alexandria, VA · Hybrid

Launched by Management Consultants, our multidisciplinary teams bring together the talents of ... ProSidian.com ProSidian Seeks a RPA Developer | Human Capital Technology Support - Intelligent ...

Infosys Limited

Must have implemented different intelligent automation capabilities for insurers including RPA, RDA ... Senior Consultant, Business Process Reimagination, AI & Automation, North America About the role ...

RIT Solutions, Inc.

RPA Project Manager

Jacksonville, FL · On-site

$91K - $108K/yr

The role involves managing cross-functional teams, liaising with internal IT and RPA consultants ... and intelligent automation. • Strong understanding of automation platforms (e.g., UiPath ...

RHI Magnesita N.V.

NY · On-site

Head of Enterprise AI & Intelligent Automation (Global Business Services) (all genders) Hybrid ... Strong commercial mindset with experience managing technology vendors, consulting partners and ...

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Intelligent Automation Consultant information

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How much do intelligent automation consultant jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for intelligent automation consultant in the United States is $50.00, according to ZipRecruiter salary data. Most workers in this role earn between $45.19 and $62.50 per hour, depending on experience, location, and employer.

What is an intelligent automation consultant?

An Intelligent Automation Consultant is a professional who helps organizations improve their business processes by implementing technologies such as robotic process automation (RPA), artificial intelligence (AI), and machine learning. Their role involves analyzing current workflows, identifying opportunities for automation, designing and deploying intelligent solutions, and ensuring smooth integration with existing systems. They also provide guidance on best practices and help manage change to maximize efficiency and reduce operational costs.

What are the key skills and qualifications needed to thrive as an intelligent automation consultant?

To thrive as an Intelligent Automation Consultant, you need expertise in process analysis, automation technologies (such as RPA and AI), and a relevant degree in computer science, engineering, or a related field. Familiarity with automation platforms like UiPath, Blue Prism, or Automation Anywhere, as well as certifications in these tools, is commonly required. Strong problem-solving abilities, communication skills, and stakeholder management set top consultants apart. These skills are critical for effectively designing, implementing, and optimizing automation solutions that drive business efficiency and innovation.

What are common challenges intelligent automation consultants face when implementing automation solutions for clients?

Intelligent Automation Consultants often encounter challenges such as integrating new automation tools with legacy systems, addressing stakeholder resistance to change, and ensuring data quality for accurate process automation. Balancing the technical requirements with business needs requires strong communication and project management skills. Additionally, consultants must stay updated on evolving technologies to recommend scalable and future-proof solutions for clients.

What is the difference between Intelligent Automation Consultant vs Business Process Analyst?

AspectIntelligent Automation ConsultantBusiness Process Analyst
Required CredentialsCertifications in RPA, AI, or related fields; relevant degreesBusiness analysis certifications; degrees in business or related fields
Work EnvironmentTechnology-focused projects, automation tools, client consultingProcess evaluation, workflow analysis, operational improvements
Employer & Industry UsageIT consulting firms, finance, healthcare, manufacturingCorporate, consulting, government agencies
Common Search & ComparisonFocuses on automation solutions, AI integrationFocuses on process optimization, efficiency

The Intelligent Automation Consultant primarily designs and implements automation solutions using AI and RPA technologies, often working closely with IT teams and clients. In contrast, a Business Process Analyst analyzes and improves existing workflows to enhance efficiency. While both roles require analytical skills and industry knowledge, the Automation Consultant emphasizes technical automation tools, whereas the Business Process Analyst focuses on process evaluation and optimization.

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Intelligent Automation Consultant jobs near you
Infographic showing various Intelligent Automation Consultant job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 93% Full Time, 2% Part Time, and 4% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $104,000 per year, or $50 per hour.

AI Transformation Consultant - Internal Systems & Automation

San Diego, CA • Remote

GigaKOM
IT Services • 11 - 50 employees
Learn more about GigaKOMexternal

Contractor

Re-posted 13 days ago

Job description

AI Transformation Consultant - Internal Systems & Automation


Location: Remote
Engagement Type: Contract / Consultant


About GigaKOM

For over 20 years, GigaKOM has delivered enterprise-grade IT solutions to California's K-12 school districts, higher education institutions, and state and local government agencies. We specialize in secure, scalable networking, infrastructure, and communications solutions that support digital learning environments and mission-critical operations.

As part of our continued modernization efforts, we are seeking an experienced AI consultant to help re-architect and optimize our internal systems using practical, high-impact AI solutions.


Engagement Overview

GigaKOM is seeking a highly experienced AI practitioner to assess, redesign, and modernize internal workflows and systems through applied artificial intelligence.

This consultant will evaluate current business processes, identify automation and AI opportunities, and implement scalable solutions that increase operational efficiency, reduce manual workload, and improve decision-making capabilities.

This role is strategic and hands-on, focused on execution and measurable outcomes.


Scope of Work

Assess & Identify Opportunities

  • Conduct a comprehensive review of internal systems and workflows
  • Identify high-ROI AI and automation use cases
  • Evaluate data readiness and infrastructure maturity
  • Deliver an AI adoption and modernization roadmap

Retool & Optimize Systems

  • Integrate AI capabilities into CRM, ERP, ticketing, reporting, and operational platforms
  • Implement AI copilots, automation agents, and intelligent workflows
  • Redesign manual processes into scalable automation frameworks
  • Improve data structures to support predictive analytics and reporting

Implement & Deploy

  • Evaluate and deploy LLM-based tools and automation platforms
  • Design internal AI assistants and knowledge systems
  • Build dashboards and AI-powered reporting tools
  • Ensure secure, compliant integration with existing infrastructure

Establish Governance & Enablement

  • Define AI governance and usage standards
  • Provide documentation and best practices
  • Guide leadership on responsible AI adoption
  • Train key stakeholders on implemented systems


Required Experience

  • 5+ years working in AI, automation, or digital transformation
  • Demonstrated experience retooling internal enterprise systems
  • Strong knowledge of CRM, ERP, workflow automation, and system integration
  • Experience deploying LLM-based tools and AI-powered automation
  • Understanding of data security, governance, and compliance best practices
  • Ability to translate business needs into technical AI solutions


Preferred Experience

  • Experience with OpenAI, Azure AI, AWS AI services, or similar platforms
  • Background in automation tools (Retool, UiPath, Power Automate, Zapier, etc.)
  • Experience working in IT services or enterprise technology environments
  • Strong API integration and systems architecture knowledge


Deliverables

  • AI modernization roadmap
  • Implemented automation solutions
  • AI governance framework
  • Documentation and training materials
  • Measurable operational efficiency improvements


Why This Engagement?

  • Opportunity to architect AI transformation from the ground up
  • Direct impact on enterprise-wide operational performance
  • Strategic visibility with executive leadership
  • Ability to implement real-world AI solutions at scale

Apply