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Ai Automation Testing Jobs in Tennessee (NOW HIRING)

Innosoul inc

UiPath Automation Developer

Nashville, TN · On-site

TN-65886 Hybrid/Local Govt UiPath Automation Developer (15+) with Agentic/generative/Center AI ... The UiPath Developer is responsible for designing, developing, testing, deploying, and maintaining ...

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Philips

AI Solutions Engineer

Nashville, TN · On-site

$107K - $170K/yr

... automation, and data-driven solutions across Philips. Your role: * Design, develop, and deploy ... Own solutions throughout their lifecycle, including testing, deployment, monitoring, and continuous ...

Philips

AI Solutions Engineer

Nashville, TN

$107K - $170K/yr

... automation, and data-driven solutions across Philips. Your role: * Design, develop, and deploy ... Own solutions throughout their lifecycle, including testing, deployment, monitoring, and continuous ...

Deloitte

System Test and Validation Lead

Memphis, TN · On-site +1

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of validation approaches for non-deterministic outputs and documentation of AI governance requirements A ...

Deloitte

System Test and Validation Lead

Hermitage, TN · On-site +1

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of validation approaches for non-deterministic outputs and documentation of AI governance requirements A ...

Deloitte

System Test and Validation Lead

Nashville, TN · On-site +1

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of validation approaches for non-deterministic outputs and documentation of AI governance requirements A ...

Deloitte

System Test and Validation Lead

Nashville, TN · On-site +1

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of validation approaches for non-deterministic outputs and documentation of AI governance requirements A ...

Deloitte

System Test and Validation Lead

Hermitage, TN · On-site +1

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of validation approaches for non-deterministic outputs and documentation of AI governance requirements A ...

Deloitte

System Test and Validation Lead

Memphis, TN · On-site +1

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of validation approaches for non-deterministic outputs and documentation of AI governance requirements A ...

Deloitte

System Test and Validation Lead

Hermitage, TN · On-site +1

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of validation approaches for non-deterministic outputs and documentation of AI governance requirements A ...

Deloitte

System Test and Validation Lead

Nashville, TN · On-site +1

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of validation approaches for non-deterministic outputs and documentation of AI governance requirements A ...

Deloitte

System Test and Validation Lead

Memphis, TN · On-site +1

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of validation approaches for non-deterministic outputs and documentation of AI governance requirements A ...

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All JobsAi Automation Testing JobsAi Automation Testing Jobs in Tennessee

Ai Automation Testing information

What are some common challenges faced by AI Automation Testing professionals when validating machine learning models?

AI Automation Testing professionals often encounter challenges such as ensuring that test cases comprehensively cover the unique behaviors of machine learning models, dealing with non-deterministic outputs, and handling large datasets efficiently. It's also common to face difficulties in setting up reliable test environments that simulate real-world data scenarios. Collaboration with data scientists and developers is crucial to define meaningful metrics and effectively interpret test results, ensuring the AI system meets both functional and ethical standards.

What is AI automation testing?

AI automation testing refers to the use of artificial intelligence technologies to automate the process of testing software applications. This approach enhances traditional automated testing by using machine learning and data analysis to identify test cases, detect defects, and optimize test coverage. AI-driven testing tools can adapt to changes in the application, reduce manual effort, and improve the accuracy and speed of testing processes. As a result, organizations can deliver higher-quality software more efficiently.

How much do AI testers get paid?

AI automation testers typically earn between $60,000 and $120,000 annually, depending on experience, location, and skill level. Entry-level positions may start around $50,000, while experienced professionals with skills in machine learning and scripting can earn higher salaries. Certifications and proficiency with testing tools can also influence compensation.

What are the key skills and qualifications needed to thrive as an AI Automation Testing professional, and why are they important?

To thrive as an AI Automation Testing professional, you need a solid understanding of software testing principles, programming languages (such as Python or Java), and AI/ML concepts, often supported by a degree in computer science or a related field. Familiarity with automation tools like Selenium, Appium, and AI-powered testing frameworks, as well as certifications like ISTQB, is highly valued. Strong analytical thinking, attention to detail, and effective communication skills help professionals excel in diagnosing issues and collaborating with development teams. These skills ensure the delivery of robust, efficient, and reliable AI-driven software products in a competitive technology landscape.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. Such roles usually involve developing innovative AI solutions, managing teams, and may require expertise in programming, data analysis, and relevant tools like TensorFlow or PyTorch.

Is AI testing a good career?

AI automation testing is a growing field that involves evaluating AI systems for accuracy, reliability, and performance using tools like scripting and testing frameworks. It offers opportunities in technology companies, with demand increasing as AI applications expand across industries. Developing skills in programming, machine learning concepts, and testing tools can enhance career prospects in this area.

What is the difference between Ai Automation Testing vs Software Test Engineer?

AspectAi Automation TestingSoftware Test Engineer
Required CredentialsCertifications in AI, automation tools, programming languagesSoftware testing certifications (ISTQB, CSTE), programming skills
Work EnvironmentFocus on automation frameworks, AI integration, scriptingManual and automated testing, test case design, bug tracking
Employer & Industry UsageTech companies, AI-driven projects, software development firmsSoftware development companies, IT departments, QA teams

Ai Automation Testing and Software Test Engineer roles overlap in testing skills and programming knowledge. However, Ai Automation Testing emphasizes AI integration and automation frameworks, while Software Test Engineers focus more on manual testing, test case creation, and bug identification. Both roles are essential in software quality assurance but serve different aspects of the testing process.

What are popular job titles related to Ai Automation Testing jobs in Tennessee? For Ai Automation Testing jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Ai Automation Testing jobs in Tennessee look for? The top searched job categories for Ai Automation Testing jobs in Tennessee are:
What cities in Tennessee are hiring for Ai Automation Testing jobs? Cities in Tennessee with the most Ai Automation Testing job openings:
Ai Automation Testing jobs near you
Infographic showing various Ai Automation Testing job openings in Tennessee as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.
UiPath Automation Developer

UiPath Automation Developer

Innosoul inc

Nashville, TN • On-site

Other

Posted 2 days ago

Job description

Job ID: TN-65886

Hybrid/Local Govt UiPath Automation Developer (15+) with Agentic/generative/Center AI, LLMs integration, prompt engineering, RPA design, RAG, Studio Web/StudioX/Orchestrator/Autopilot, debugging, troubleshooting, Mining, REST/SOAP, SQL, OCR, C#, VB.NET, Python, PowerShell, Agile/Scrum experience

Location: Nashville, TN (F&A STS)
Duration: 4 Months
Candidate Must Be Local

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

Description:
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 UiPaths 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.

Apply