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Intelligent Automation Jobs in Tennessee (NOW HIRING)

Oracle

Principal Site Reliability Engineer

Nashville, TN · On-site

$55 - $73.25/hr

You will leverage modern AI technologies, machine learning, and intelligent automation to streamline operations, accelerate incident response, improve troubleshooting, and enable autonomous system ...

Sonepar

Director, Intelligent Devices

La Vergne, TN · On-site

Responsible for Rockwell Automation ITD Commercial Planning Process and Sales Performance Goals ... Develop and execute the Intelligent Devices business plan in alignment with Rockwell Automation ...

PNC Bank

$137K - $186K/yr

AI, Machine Learning & Intelligent Automation * Define and drive AI architecture strategies leveraging Large Language Models (LLMs), AI agents, machine learning, and intelligent automation. * Design ...

New

Standard Nuclear

Automation Engineer

Oak Ridge, TN · On-site

... intelligent manufacturing, operations, engineering, quality, NMCA, EH&S, supply chain, and IT teams ... automation, data engineering, manufacturing systems, IT systems support, or a related technical ...

CereCore

Senior .NET Developer

Nashville, TN

$53 - $67.50/hr

Identify opportunities to apply Agentic AI and intelligent automation to streamline manual processes and improve operational efficiency. * Design and build scalable APIs, web applications, and ...

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Intelligent Automation information

See Tennessee salary details

$33.6K

$97.2K

$147.9K

How much do intelligent automation jobs pay per year?

As of Aug 7, 2026, the average yearly pay for intelligent automation in Tennessee is $97,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $112,100.00 per year, depending on experience, location, and employer.

What are some of the typical challenges faced in an intelligent automation role?

Professionals in Intelligent Automation roles frequently encounter challenges such as identifying the right processes for automation, managing changing business requirements, and ensuring seamless integration with existing IT infrastructure. Navigating organizational change and gaining buy-in from stakeholders are also common hurdles, as automation can significantly impact workflows and job roles. Successful practitioners typically work closely with business analysts, IT teams, and process owners to address these issues and implement scalable solutions. Overcoming these challenges requires a mix of technical expertise, adaptability, and strong interpersonal skills, all of which contribute to delivering impactful automation outcomes.

What are the key skills and qualifications needed to thrive in intelligent automation?

To thrive in Intelligent Automation, you need a solid background in process analysis, business process management, and programming or scripting skills, typically backed by a degree in engineering, computer science, or a related field. Experience with Robotic Process Automation (RPA) platforms such as UiPath or Blue Prism, as well as knowledge of machine learning and AI technologies, is highly beneficial, and certifications in these tools are often preferred. Strong problem-solving abilities, analytical thinking, and effective communication are essential soft skills for working across departments and translating business needs into technical solutions. These competencies are crucial for driving successful automation initiatives that improve efficiency, reduce errors, and add value to organizations.

What is an intelligent automation?

An Intelligent Automation job involves designing, developing, and implementing automation solutions that combine artificial intelligence (AI), robotic process automation (RPA), and other advanced technologies to streamline business operations. Professionals in this field analyze workflows, identify automation opportunities, and create systems that improve efficiency, reduce errors, and enhance decision-making. They work with AI models, bots, and data analytics to optimize processes across various industries. This role often requires expertise in programming, machine learning, and process optimization.

What are the most commonly searched types of Intelligent Automation jobs in Tennessee? The most popular types of Intelligent Automation jobs in Tennessee are:
What are popular job titles related to Intelligent Automation jobs in Tennessee? For Intelligent Automation jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Intelligent Automation jobs in Tennessee look for? The top searched job categories for Intelligent Automation jobs in Tennessee are:
Intelligent Automation jobs near you
Infographic showing various Intelligent Automation job openings in Tennessee as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 69% In-person, 13% Hybrid, and 18% Remote job distribution, with an average salary of $97,230 per year, or $46.7 per hour.

Principal Data Automation Engineer/ Data Scientist, Supply Chain

Ll Oefentherapie

Nashville, TN • On-site

$130 - $190/hr

Other

Posted 2 days ago

New

Job description

Oracle Cloud Infrastructure (OCI) is seeking a highly motivated Principal Data Automation Engineer to help accelerate the digital transformation of OCI's global supply chain operations. Reporting to the Senior Director of Data Automation, Supply Chain, this role will design, develop, and implement advanced data platforms, AI-enabled automation, predictive analytics, and operational intelligence solutions that improve efficiency, scalability, and decision‑making across OCI's rapidly growing supply chain organization.

As a senior individual contributor, you will partner closely with Supply Planning, Manufacturing, Sourcing, Logistics, Capacity Planning, Data Center Operations, and Engineering teams to develop intelligent automation, operational dashboards, machine learning models, and data products that enable proactive management of supply chain operations. This role requires deep technical expertise, strong business acumen, and the ability to influence cross‑functional stakeholders through data‑driven solutions.

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