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Ai Automation Developer Jobs in Tennessee (NOW HIRING)

Brooksource

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 ...

Oracle

Senior Platform Software Engineer

Nashville, TN · On-site

$118K - $156K/yr

Experience developing automation, developer productivity tools, or operational tooling ... And with AI embedded across our products and services, we help customers turn that promise into a ...

Oracle

Senior Platform Software Engineer

Nashville, TN · On-site

$118K - $156K/yr

Experience developing automation, developer productivity tools, or operational tooling ... And with AI embedded across our products and services, we help customers turn that promise into a ...

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Ai Automation Developer information

See Tennessee salary details

$9

$47

$73

How much do ai automation developer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for ai automation developer in Tennessee is $47.26, according to ZipRecruiter salary data. Most workers in this role earn between $36.63 and $54.33 per hour, depending on experience, location, and employer.

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

AspectAi Automation DeveloperData Scientist
Required CredentialsBachelor's in CS, Engineering, or related field; knowledge of AI/ML toolsBachelor's or higher in Statistics, Math, or CS; proficiency in data analysis and ML
Work EnvironmentDevelops AI automation solutions, often in tech or enterprise settingsAnalyzes data to extract insights, often in research or analytics teams
Employer & Industry UsageTech companies, automation firms, industries adopting AI solutionsResearch institutions, finance, healthcare, and data-driven industries

While both roles involve AI and machine learning, Ai Automation Developers focus on creating automated AI systems to streamline processes, whereas Data Scientists analyze data to inform business decisions. The roles often overlap but serve different primary functions within organizations.

Is AI automation a good career?

AI automation is a growing field with strong demand for professionals such as AI automation developers, who design and implement automated systems using machine learning and programming skills. It offers opportunities in various industries, competitive salaries, and the chance to work on innovative technologies, making it a promising career choice for those interested in technology and problem-solving.

What is the salary of AI automation developer?

The salary of an AI automation developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Professionals with strong skills in machine learning, programming, and automation tools like Python and TensorFlow tend to earn higher salaries.

What jobs can I do with AI automation?

AI Automation Developers can work in roles such as AI engineer, machine learning engineer, data scientist, automation analyst, or robotics process automation (RPA) developer. These jobs involve designing, implementing, and maintaining AI-driven systems, often requiring skills in programming, data analysis, and familiarity with AI tools like Python, TensorFlow, or UiPath.
Ai Automation Developer jobs near you
Infographic showing various Ai Automation Developer job openings in Tennessee as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $98,306 per year, or $47.3 per hour.

Senior Engineer, AI Agentic & Transformation

Brentwood, TN • On-site

Lifepoint Health
Health Care and Social Assistance • 10K+ employees
Learn more about Lifepoint Healthexternal

$98K - $135K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Key responsibilities

  • Design, develop, and deploy AI-powered autonomous workflows and agentic systems to automate manual business processes.

  • Build multi-step AI agent pipelines using orchestration frameworks and integrate them with enterprise systems and APIs.

  • Implement security principles and evaluate AI agent outputs to ensure reliable, safe, and accurate system behavior.

LifePoint Health rating

5.9

Company rating: 5.9 out of 10

Based on 273 frontline employees who took The Breakroom Quiz

767th of 898 rated healthcare providers

Job description


EEOC Statement
"Lifepoint Health is an Equal Opportunity Employer. Lifepoint Health is committed to Equal Employment Opportunity for all applicants and employees and complies with all applicable laws prohibiting discrimination and harassment in employment."
You must be authorized to work in the United States without employer sponsorship.
WORK ENVIRONMENT AND TRAVEL REQUIREMENTS:
The position is: Remote
Travel Requirements: Less than 25%
POSITION SUMMARY:
The Senior Agentic AI Engineer is a hands-on builder responsible for designing, developing, and deploying AI-powered autonomous workflows and agentic systems that eliminate manual processes across the organization.
The role requires an individual who is self-driven, intellectually curious, and able to work independently in a rapidly evolving technical environment. Candidates should demonstrate strong foundational software engineering skills, the ability to learn new tools and concepts through self-directed study, and an aptitude for applying emerging AI technologies to practical business problems. While direct production experience with all listed technologies is preferred, it is not required if the candidate can show relevant technical ability, sound problem-solving skills, and a proven capacity to quickly build knowledge in new areas.
ESSENTIAL FUNCTIONS:
  • Design and build LLM-powered agentic workflows using Azure AI Foundry and Anthropic Claude APIs that automate business processes currently requiring manual human effort.
  • Develop multi-step AI agent pipelines using orchestration frameworks (e.g., LangChain, AutoGen, Semantic Kernel, or custom implementations) integrated with enterprise systems such as ServiceNow, Okta, and ERP platforms.
  • Implement Model Context Protocol (MCP) integrations to enable AI agents to securely access and act on enterprise data sources, tools, and APIs - becoming an internal subject-matter expert on MCP patterns and best practices.
  • Apply security-by-design principles throughout all AI agent development: prompt injection defense, least-privilege tool access, secrets management, output validation, and safe handling of sensitive organizational data.
  • Build, test, and iterate on prompts, system instructions, and agent reasoning chains to ensure reliable, accurate, and safe agent behavior across diverse business scenarios.
  • Partner with the Backend Integration Engineer to connect agent workflows to existing enterprise API infrastructure and MCP server endpoints.
  • Collaborate with the AI Business Analyst to translate business use cases into technical agent requirements and working prototypes.
  • Participate in code reviews, maintain internal documentation, and contribute to the team's shared engineering standards for agentic AI development.
  • Stay current with rapidly evolving AI tooling, model capabilities, and agentic design patterns - proactively experimenting and bringing new techniques to the team.
  • Assist in evaluating AI agent outputs for accuracy, safety, and alignment with intended business outcomes before production deployment.
  • Designing multi-step autonomous workflows
  • Integrating AI with enterprise tools and APIs
  • Prompt engineering, orchestration, tool calling, RAG, and agent safety
  • Turning business use cases into working AI solutions
  • Ensuring AI systems behave reliably, securely, and accurately

QUALIFICATION, EDUCATION, KNOWLEDGE, SKILLS:
The requirements listed below are representative of the knowledge, skills and/or abilities required.
EDUCATION:
Bachelor's degree in computer science, Information Systems, Software Engineering, or related field preferred. Equivalent practical experience or a strong portfolio of AI projects will be considered.
EXPERIENCE:
4+ years of experience in a foundational IT, software engineering, systems integration, or application development environment required, including at least 2+ years of hands-on experience working with AI, automation, orchestration, or integration platforms such as Azure AI Foundry, Anthropic Claude APIs, LangChain, AutoGen, Semantic Kernel, ServiceNow, Okta, ERP-connected workflows, or similar enterprise automation technologies.
Candidates should demonstrate practical experience building, supporting, or enhancing technical solutions in production or pilot environments, along with strong core competencies in programming, API integration, troubleshooting, and systems thinking. Experience with agentic AI projects, whether in professional settings or through substantial independent work, is strongly preferred.
KNOWLEDGE, SKILLS & ABILITIES:
  • Working knowledge of Python and REST API consumption and integration.
  • Familiarity with Azure cloud services; Azure AI Foundry experience is a strong plus.
  • Understanding of LLM concepts: prompting, tool use / function calling, context management, retrieval-augmented generation (RAG), and multi-agent orchestration.
  • Exposure to or eagerness to deeply learn Model Context Protocol (MCP) - the emerging standard for connecting AI agents to enterprise tools and data sources.
  • AI security awareness: prompt injection attacks, data leakage risks, insecure tool execution, jailbreaking techniques, and general OWASP software security principles.
  • Experience with version control (Git) and basic software development lifecycle (SDLC) practices.
  • Intellectual curiosity and a demonstrated self-directed learning habit - personal projects, open-source contributions, online courses, or similar evidence welcomed.
  • Strong problem-solving skills and ability to operate independently in a fast-moving, ambiguous environment.
  • Excellent written and verbal communication skills - able to explain technical concepts to non-technical stakeholders.

CERTIFICATIONS/LICENSURE:
Microsoft Azure AI Engineer Associate (AI-102) or Azure Fundamentals (AZ-900) preferred. Willingness to pursue relevant AI and Azure certifications is expected and supported by the organization.
About Us
Lifepoint Health is a leader in community-based care and driven by a mission of Making Communities Healthier. Our diversified healthcare delivery network spans 29 states and includes 63 community hospital campuses, 32 rehabilitation and behavioral health hospitals, and more than 170 additional sites of care across the healthcare continuum, such as acute rehabilitation units, outpatient centers and post-acute care facilities. We believe that success is achieved through talented people. We want to create places where employees want to work, with opportunities to pursue meaningful and satisfying careers that truly make a difference in communities across the country.
About the Team
We employ and provide care to people from all walks of life. We are committed to promoting healing, providing hope, preserving dignity and producing value with an inclusive workforce in which diversity is leveraged, respected, and reflective of the patients, family members, customers and team members we serve.

What LifePoint Health employees say

Pay

Benefits

Hours and flexibility

Workplace

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About LifePoint Health

Sourced by ZipRecruiter

Lifepoint Health serves patients, clinicians, communities and partners across the healthcare continuum. Our diversified healthcare delivery network extends from coast to coast, consisting of community hospitals, rehabilitation and behavioral health hospitals, and additional sites of care.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Brentwood, TN, US

Year founded

1999

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