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Mining Automation Jobs (NOW HIRING)

As the Process Mining Lead, you will own end-to-end process discovery and analysis across supply ... Partner with RPA, AI, and operations teams to identify automation and optimization opportunities

Turner Mining Group - Project Manager A challenging and rewarding opportunity for a senior project ... automation solutions Qualifications: * Bachelor's degree in engineering, project management, or ...

Turner Mining Group - Project Manager A challenging and rewarding opportunity for a senior project ... automation solutions Qualifications: * Bachelor's degree in engineering, project management, or ...

Turner Mining Group - Project Manager A challenging and rewarding opportunity for a senior project ... automation solutions Qualifications: * Bachelor's degree in engineering, project management, or ...

Senior Industrial Automation Engineer (Mining)

Concord, NC ยท On-site

$94.60K - $124.10K/yr

Bachelor's Degree or equivalent, in related field * 10+ years of experience in the automation field at manufacturing or mining facilities * Candidates with experience in mineral and/or bulk solids ...

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Mining Automation information

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$37.5K

$45.6K

$71K

How much do mining automation jobs pay per year?

As of Jun 1, 2026, the average yearly pay for mining automation in the United States is $45,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $42,000.00 per year, depending on experience, location, and employer.

What is a Mining Automation job?

A Mining Automation job focuses on implementing and managing automated systems in the mining industry to improve efficiency, safety, and production. Professionals in this field work with robotics, sensors, and software to monitor and control mining operations with minimal human intervention. They may design automation strategies, troubleshoot technical issues, and ensure compliance with industry regulations. This role often requires expertise in engineering, data analysis, and machine learning.

What are the key skills and qualifications needed to thrive in the Mining Automation position, and why are they important?

To excel in Mining Automation, you need a solid background in mining engineering or industrial automation, strong problem-solving abilities, and proficiency with programmable logic controllers (PLCs) or SCADA systems. Familiarity with automation software, robotics, and safety standards such as MSHA certifications is highly valuable. Strong teamwork, analytical thinking, and clear communication skills set top candidates apart. These competencies are critical for safely implementing, troubleshooting, and optimizing automated mining systems to drive operational efficiency.

What does a typical workday look like for someone in Mining Automation?

A typical workday in Mining Automation involves monitoring and optimizing automated equipment, troubleshooting system issues, and collaborating with maintenance teams to ensure smooth operations. You may spend time analyzing data from sensors and control systems, performing software updates, and implementing process improvements. Daily responsibilities often require on-site presence at mine locations, coordinating with engineers, safety officers, and operators. The role offers a dynamic environment with a mix of technical challenges and teamwork, providing opportunities to continuously learn and contribute to mining advancements.
What are the most commonly searched types of Mining Automation jobs? The most popular types of Mining Automation jobs are:
What states have the most Mining Automation jobs? States with the most job openings for Mining Automation jobs include:

Automation Architect (RPA)

Connect Tech+Talent

Salt Lake City, UT โ€ข Remote

Other

Posted 10 days ago


Job description

Job Description Job Description Automation Architect (RPA) Location: Salt Lake City, UT (Remote) Duration: 12 Months Job Summary: We are seeking a highly experienced Automation Architect with deep expertise in enterprise intelligent automation, Agentic AI Systems, hyperautomation, and AI-driven workflow orchestration. The ideal candidate will architect and lead next-generation automation cosystems that combine RPA, AI/ML, NLP, intelligent document processing, process intelligence, and autonomous AI agents to transform enterprise operations at scale. This role requires strong hands-on experience with advanced AI orchestration frameworks, multi-agent systems, autonomous workflows, tool-calling architectures, and enterprise automation platforms including UiPath AI Center, UiPath Automation Hub, UiPath Process Mining, UiPath Communications Mining, Automation Anywhere Bot Insight, and ABBYY Vantage.

The Automation Architect will lead enterprise automation strategy, AI-enabled workflow transformation, governance frameworks, and scalable AI automation platform development across complex enterprise environments. Required Automation & AI Platforms: (Mandatory) UiPath AI Center UiPath Automation Hub UiPath Process Mining UiPath Communications Mining Automation Anywhere Bot Insight ABBYY Vantage Required Skills: (Mandatory) Agentic AI Systems Multi-agent orchestration Autonomous workflows Tool-calling systems AI Agent Architecture Enterprise AI Orchestration AI-powered workflow automation Autonomous AI decision frameworks AI agent integration with enterprise systems Intelligent workflow reasoning systems Required Qualifications: 10+ years of experience in intelligent automation, RPA architecture, enterprise AI solutions, or workflow orchestration Proven experience designing and implementing enterprise-scale automation programs Strong hands-on expertise with Agentic AI Systems and enterprise AI orchestration Experience building scalable autonomous workflows and AI-driven automation ecosystems Strong expertise in API integrations, workflow orchestration, and enterprise application connectivity Experience with AI/ML-enabled automation platforms and process intelligence solutions Strong programming/scripting skills in Python, JavaScript, C#, or Java Experience with cloud platforms such as AWS, Azure, or Google Cloud Knowledge of enterprise integration patterns, microservices, and event-driven architectures Education: - Master's degree in Computer Science, Information Systems, Engineering, AI, or related field preferred - Bachelor's degree in Computer Science, Engineering, Information Technology, or related discipline