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Ai Automation Engineer Jobs in Springfield, TN (NOW HIRING)

AI Lead Engineer

Nashville, TN · On-site

$99K - $130K/yr

Strong passion for operational excellence, observability, automation, and building secure, developer-friendly AI and Agentic AI infrastructure at scale. * Bachelor's, Master's, or PhD degree in ...

AI Lead Engineer

Nashville, TN

$99K - $130K/yr

AI Lead Engineer Responsibilities: * Understand the define technical vision, roadmap, and ... Strong passion for operational excellence, observability, automation, and building secure ...

AI Lead Engineer

Nashville, TN · On-site

$99K - $130K/yr

AI Lead Engineer Responsibilities: * Understand the define technical vision, roadmap, and ... Strong passion for operational excellence, observability, automation, and building secure ...

UiPath Developer RPA

Nashville, TN · On-site

$45 - $60/hr

While the program is expanding into Agentic AI and intelligent automation, the foundation of this role is deep UiPath expertise, complemented by strong programming skills and exposure to AI/LLM ...

Principal AI Engineer

Nashville, TN · On-site

$180 - $240/hr

MLOps and AI Delivery Automation: Establish CI/CD and MLOps pipelines, infrastructure‑as‑code ... Evaluation and Quality Engineering: Define and implement testing and evaluation approaches for ...

New

Principal AI Engineer

Nashville, TN · On-site

$150 - $210/hr

MLOps and AI Delivery Automation: Establish CI/CD and MLOps pipelines, infrastructure-as-code ... Evaluation and Quality Engineering: Define and implement testing and evaluation approaches for ...

New

Senior AI Engineer - SFL Scientific

Nashville, TN · On-site

$100K - $138K/yr

Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns * Define and lead technology proof of concepts to ensure feasibility of new data and cloud ...

Principal AI Software Engineer

Nashville, TN · On-site

$130K - $174K/yr

Drive engineering excellence through code reviews, design reviews, test strategy, deployment automation, incident analysis, documentation, and AI-assisted development practices using tools such as ...

Senior Platform Software Engineer

Nashville, TN · On-site

$118K - $156K/yr

Experience using AI-assisted software development tools to improve engineering productivity across ... Experience developing automation, developer productivity tools, or operational tooling.

Senior Platform Software Engineer

Nashville, TN · On-site

$118K - $156K/yr

Experience using AI-assisted software development tools to improve engineering productivity across ... Experience developing automation, developer productivity tools, or operational tooling.

Experience using AI-assisted software development tools to improve engineering productivity across ... Experience developing automation, developer productivity tools, or operational tooling.

Experience using AI-assisted software development tools to improve engineering productivity across ... Experience developing automation, developer productivity tools, or operational tooling.

Lead Principal AI Software Engineer

Nashville, TN · On-site

$121K - $167K/yr

Drive engineering excellence through code reviews, design reviews, test strategy, deployment automation, incident analysis, documentation, and AI-assisted development practices using tools such as ...

Showing results 21-40

Ai Automation Engineer information

See Springfield, TN salary details

$34.9K

$101.2K

$153.9K

How much do ai automation engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for ai automation engineer in Springfield, TN is $101,169.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,700.00 and $116,600.00 per year, depending on experience, location, and employer.

What is an AI automation engineer?

AI Automation Engineers are professionals who design, develop, and implement artificial intelligence solutions to automate tasks and workflows within organizations. They combine expertise in AI, machine learning, and software engineering to create systems that can perform repetitive or complex tasks efficiently with minimal human intervention. Their work often involves building and integrating AI models, optimizing processes, and ensuring the reliability and scalability of automated solutions. These engineers collaborate closely with data scientists, software developers, and business stakeholders to align automation initiatives with organizational goals.

What is the difference between Ai Automation Engineer vs Data Scientist?

AspectAi Automation EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Engineering, or related field; knowledge of AI, automation toolsBachelor's or higher in Statistics, Computer Science, or related; strong analytical skills
Work EnvironmentTech companies, automation firms, R&D labs; focus on developing AI-driven automation solutionsData analysis teams, research institutions; focus on data modeling and insights
Employer & Industry UsageUsed in manufacturing, software development, AI startupsUsed across finance, healthcare, marketing, and tech sectors
Common Search & Comparison IntentUnderstanding roles in AI automationExploring data analysis careers

While both roles involve working with data and AI, Ai Automation Engineers focus on developing automated AI systems and integrating AI into processes. Data Scientists analyze data to extract insights and build models. The roles overlap in AI knowledge but differ in application and focus areas.

What are common challenges faced by AI automation engineers during project implementation?

AI Automation Engineers often encounter challenges such as integrating new AI models with existing legacy systems, ensuring data quality for accurate model outputs, and managing stakeholder expectations regarding automation outcomes. They must also address issues related to model scalability and robustness, especially when deploying solutions in dynamic production environments. Collaboration with cross-functional teams—including data scientists, software engineers, and business analysts—is essential to navigate these complexities and deliver effective automation solutions.

What skills and qualifications are needed to thrive as an AI automation engineer?

To thrive as an AI Automation Engineer, you need strong programming skills (such as Python), a solid understanding of machine learning concepts, and typically a degree in computer science, engineering, or a related field. Familiarity with automation frameworks, cloud platforms (like AWS, Azure, or GCP), and machine learning libraries (such as TensorFlow or PyTorch) is often required. Problem-solving ability, adaptability, and effective communication are crucial soft skills for collaborating across teams and addressing complex technical challenges. These skills ensure the successful design, implementation, and scaling of automated AI solutions that drive business efficiency and innovation.
What are popular job titles related to Ai Automation Engineer jobs in Springfield, TN? For Ai Automation Engineer jobs in Springfield, TN, the most frequently searched job titles are:
What cities near Springfield, TN are hiring for Ai Automation Engineer jobs? Cities near Springfield, TN with the most Ai Automation Engineer job openings:
Infographic showing various Ai Automation Engineer job openings in Springfield, TN as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $101,169 per year, or $48.6 per hour.

Sr. UiPath Developer / AI

Ruri Software Technologies LLC

Nashville, TN • On-site

$92K - $127K/yr

Full-time

Posted 18 days ago


Job description

Title: UiPath Developer - AI/System Programmer 4
Nashville, TN - Onsite/Hybrid
Only Locals required - Tennessee locals only
W2 position / C2C will not considered
The UiPath Developer is responsible for designing, developing, testing, deploying, and maintaining Robotic Process Automation (RPA) solutions that improve operational efficiency, accuracy, compliance, and citizen service delivery across state government agencies. This role supports both traditional linear automation workflows and emerging Agentic AI solutions using UiPath's automation platform.
Key Duties and Responsibilities
Design, develop, test, and implement UiPath automation solutions for state government
business processes.
Build and maintain automations including attended, unattended, and scheduled bots for
repetitive, rules-based workflows.
Analyze business requirements and translate them into scalable automation solutions using
UiPath Studio, UiPath Studio Web, Orchestrator, and related technologies.
Develop process workflows, exception handling, logging, auditing, and monitoring capabilities for enterprise-grade automation.
Create reusable automation components, libraries, & templates to support enterprise
automation initiatives.
Support integration of UiPath solutions with government systems, databases, APIs, document management systems, and cloud services.
Implement secure automation practices aligned with state cybersecurity, privacy, and
compliance standards.
Perform testing, debugging, troubleshooting, and ongoing maintenance of automation
solutions.
Monitor bot performance, resolve production issues, and optimize automation reliability and
efficiency.
Develop technical documentation and workflow diagrams.
Support citizen service modernization initiatives through intelligent automation technologies.
Agentic AI Responsibilities
Design and implement Agentic AI solutions using UiPath Autopilot, AI Center, Document Understanding, Communications Mining, and generative AI capabilities.
Develop AI-powered agents capable of autonomous decision-making, contextual reasoning, and multi-step task orchestration within defined governance controls.
Integrate Large Language Models (LLMs), AI services, and intelligent document processing into automation workflows.
Build human-in-the-loop workflows that combine AI agents with employee oversight and
approval processes.
Develop intelligent agents capable of interpreting unstructured data, emails, forms, documents, and citizen communications.
Implement retrieval-augmented generation (RAG), prompt engineering, and AI orchestration
techniques within UiPath ecosystems.
Ensure responsible AI practices including transparency, auditability, bias mitigation, security,
and compliance with government policies.
Evaluate emerging AI and automation technologies to improve state operational efficiency and service delivery.
Assist with establishing enterprise standards and governance for Agentic AI implementations across agencies.
Preferred Technical Skills
UiPath Studio, StudioX, Orchestrator, AI Center, Action Center, and Document Understanding
REFramework and enterprise RPA design patterns
API integrations, REST/SOAP services, SQL databases
OCR technologies and intelligent document processing
Generative AI, LLM integration, prompt engineering, and AI orchestration
Programming/scripting languages such as C#, VB.NET, Python, PowerShell, or JavaScript
Cloud platforms and enterprise authentication/security concepts
Agile/Scrum development methodologies