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Ai Agent Engineer Jobs in Tennessee (NOW HIRING)

Oracle

Senior Manager, AI Agent / ML Engineering

Nashville, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience managing teams that build AI platforms, agent runtimes, inference systems, or developer platforms. * Experience with GPU inference optimization, model serving, workflow engines, or multi ...

Cyod

Principal AI Engineer

Nashville, TN · On-site

$180 - $240/hr

We are seeking a Principal AI Engineer with deep experience in agentic systems, Google Cloud ... Define and implement testing and evaluation approaches for agent performance, prompt quality ...

Insight Enterprises

Principal AI Engineer

Nashville, TN · On-site

$150 - $210/hr

We are seeking a Principal AI Engineer with deep experience in agentic systems, Google Cloud ... Define and implement testing and evaluation approaches for agent performance, prompt quality ...

Oracle

Principal AI Agent / ML Software Engineer

Nashville, TN · On-site

$130K - $174K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Principal AI Agent / ML Software Engineer is a Senior Staff-level, hands-on technical leadership role responsible for defining, building, and operating next-generation AI systems on Oracle Cloud ...

Oracle

Principal AI Agent / ML Software Engineer

Nashville, TN · On-site

$130K - $174K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Principal AI Agent / ML Software Engineer is a Senior Staff-level, hands-on technical leadership role responsible for defining, building, and operating next-generation AI systems on Oracle Cloud ...

Lightedge

Sr. AI Integration Engineer

Nashville, TN

$100K - $135K/yr

AI Agent, Harness & Workflow Development: Design, develop, and maintain production-grade AI agents ... Engineering Standards: Contribute to codebases, deployment pipelines, support practices, and ...

Oracle

Principal AI Agent / ML Software Engineer (OCI)

Nashville, TN · On-site

$130K - $174K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Principal AI Agent / ML Software Engineer is a Senior Staff-level, hands-on technical leadership role responsible for defining, building, and operating next-generation AI systems on Oracle Cloud ...

Oracle

Principal AI Agent / ML Software Engineer (OCI)

Nashville, TN · On-site

$130K - $174K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Principal AI Agent / ML Software Engineer is a Senior Staff-level, hands-on technical leadership role responsible for defining, building, and operating next-generation AI systems on Oracle Cloud ...

Pwc

AI Engineer

Nashville, TN · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... agent workflows using frameworks such as LangGraph to automate multi-step reasoning, integrate tools and APIs, and deliver scalable, context-aware solutions - Applying generative AI techniques ...

United Airlines

Agentic AI Engineer

Nashville, TN · On-site

$68K - $161K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop and manage multi-agent systems for end-to-end problem solving. * Integrate AI agents with ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

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All JobsAi Agent Engineer JobsAi Agent Engineer Jobs in Tennessee

Ai Agent Engineer information

See Tennessee salary details

$23

$48

$69

How much do ai agent engineer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for ai agent engineer in Tennessee is $48.68, according to ZipRecruiter salary data. Most workers in this role earn between $39.28 and $56.49 per hour, depending on experience, location, and employer.

What is an AI Agent engineer?

An AI Agent Engineer designs, develops, and optimizes autonomous AI agents that can perceive, reason, and act within digital or real-world environments. They work with machine learning, reinforcement learning, and natural language processing to build intelligent systems that interact dynamically with users and other agents. These engineers often integrate AI models with APIs, databases, and software applications to create functional and scalable AI-driven solutions. Their role bridges software engineering and artificial intelligence, ensuring agents operate efficiently and adaptively in various use cases.

What are the key skills and qualifications needed to thrive as an AI Agent engineer?

To excel as an AI Agent Engineer, you need a robust background in computer science, machine learning, and software engineering, often supported by a degree in a STEM field. Familiarity with programming languages like Python, relevant AI frameworks (such as TensorFlow or PyTorch), and experience with cloud platforms are typically expected, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, effective communication, and teamwork skills are essential soft skills for collaborating on complex AI projects. These competencies ensure you can design, implement, and refine intelligent agents that meet real-world challenges and deliver business value.

What are some typical challenges faced by AI Agent engineers in their day-to-day work?

AI Agent Engineers often encounter challenges such as optimizing agent performance for real-time environments, integrating new algorithms without disrupting existing systems, and ensuring their models can handle diverse and dynamic real-world data. Troubleshooting unexpected behaviors or edge cases and keeping up with rapidly evolving research in artificial intelligence can also be demanding. Working closely with product managers, data scientists, and software developers helps address these challenges, making collaboration and adaptability key components of daily tasks. Overcoming these issues offers valuable learning opportunities and contributes to the growth of robust, innovative AI solutions.

What are popular job titles related to Ai Agent Engineer jobs in Tennessee?

For Ai Agent Engineer jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Ai Agent Engineer jobs in Tennessee look for?

The top searched job categories for Ai Agent Engineer jobs in Tennessee are:

What cities in Tennessee are hiring for Ai Agent Engineer jobs?

Cities in Tennessee with the most Ai Agent Engineer job openings:

Ai Agent Engineer jobs near you
Infographic showing various Ai Agent Engineer job openings in Tennessee as of August 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $101,247 per year, or $48.7 per hour.

Senior Engineer, AI Agentic & Transformation

LifePoint Health

Brentwood, TN • On-site

$98K - $135K/yr

Other

Re-posted 3 days ago

LifePoint Health rating

5.9

Company rating: 5.9 out of 10

Based on 272 frontline employees who took The Breakroom Quiz

758th of 887 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

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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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