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Orchestration Jobs in Tennessee (NOW HIRING)

Varsity Tutors

Cello Tutor

Knoxville, TN · Remote

$18 - $40/hr

Deep knowledge of cello technique including bow hold, left hand position, intonation, vibrato, shifting, scales and arpeggios, orchestral excerpts, solo repertoire, and music theory application to ...

Varsity Tutors

Cello Tutor

Nashville, TN · Remote

$18 - $40/hr

Deep knowledge of cello technique including bow hold, left hand position, intonation, vibrato, shifting, scales and arpeggios, orchestral excerpts, solo repertoire, and music theory application to ...

Varsity Tutors

Cello Tutor

Murfreesboro, TN · Remote

$18 - $40/hr

Deep knowledge of cello technique including bow hold, left hand position, intonation, vibrato, shifting, scales and arpeggios, orchestral excerpts, solo repertoire, and music theory application to ...

Varsity Tutors

Cello Tutor

Memphis, TN · Remote

$18 - $40/hr

Deep knowledge of cello technique including bow hold, left hand position, intonation, vibrato, shifting, scales and arpeggios, orchestral excerpts, solo repertoire, and music theory application to ...

Varsity Tutors

Cello Tutor

Chattanooga, TN · Remote

$18 - $40/hr

Deep knowledge of cello technique including bow hold, left hand position, intonation, vibrato, shifting, scales and arpeggios, orchestral excerpts, solo repertoire, and music theory application to ...

Varsity Tutors

Cello Tutor

Kingsport, TN · Remote

$18 - $40/hr

Deep knowledge of cello technique including bow hold, left hand position, intonation, vibrato, shifting, scales and arpeggios, orchestral excerpts, solo repertoire, and music theory application to ...

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Orchestration information

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$10

$64

$85

How much do orchestration jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for orchestration in Tennessee is $64.97, according to ZipRecruiter salary data. Most workers in this role earn between $62.40 and $73.94 per hour, depending on experience, location, and employer.

What is orchestration in the context of IT and business operations?

Orchestration refers to the automated arrangement, coordination, and management of complex computer systems, middleware, and services. In IT, orchestration is key for streamlining workflows, especially in cloud computing and containerized environments, ensuring that different services and applications work together seamlessly. It helps businesses efficiently deploy, manage, and scale applications by automating repetitive tasks and optimizing resource utilization. Orchestration tools, such as Kubernetes or Apache Airflow, are commonly used to manage these processes. Ultimately, orchestration improves efficiency, reduces manual errors, and enhances IT agility.

How does an orchestration engineer typically collaborate with development and operations teams to streamline workflow automation?

Orchestration engineers work closely with both development (Dev) and operations (Ops) teams to design and implement automated workflows that manage complex systems and application deployments. They facilitate communication between teams by translating business requirements into technical automation scripts and ensuring seamless integration of various tools and platforms. Daily responsibilities often include troubleshooting deployment issues, optimizing automation pipelines, and maintaining documentation. This collaborative approach not only reduces manual intervention but also accelerates delivery cycles and improves system reliability.

What are the key skills and qualifications needed to thrive as an orchestration engineer, and why are they important?

To thrive as an Orchestration Engineer, you need a solid background in IT infrastructure, automation, and cloud technologies, often supported by a degree in computer science or related field. Experience with orchestration tools such as Kubernetes, Docker Swarm, Ansible, or Terraform, as well as relevant certifications (e.g., Certified Kubernetes Administrator), is typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams are vital soft skills. These competencies are crucial for efficiently automating complex workflows, ensuring system reliability, and supporting scalable, agile IT environments.

What is the difference between Orchestration vs Automation?

AspectOrchestrationAutomation
DefinitionCoordination of multiple automated processes to achieve a complex goalExecution of a single task or process automatically
ScopeIntegrates various systems and workflowsFocuses on individual tasks
ComplexityHandles complex, multi-step workflowsTypically simple, repetitive tasks
ToolsOrchestration platforms (e.g., Kubernetes, Ansible Tower)Automation scripts and tools (e.g., scripts, RPA tools)

While automation involves executing specific tasks automatically, orchestration manages and coordinates multiple automated processes to streamline complex workflows across systems. Orchestration provides a higher-level view, ensuring different automated tasks work together efficiently to achieve broader objectives.

What is an orchestration job?

An orchestration job involves coordinating and managing automated workflows across multiple systems or services to ensure efficient and reliable operation. It often requires knowledge of orchestration tools like Kubernetes, Ansible, or Apache Airflow, and typically involves tasks such as deployment, scaling, and process automation.

What are popular job titles related to Orchestration jobs in Tennessee?

For Orchestration jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Orchestration jobs in Tennessee look for?

The top searched job categories for Orchestration jobs in Tennessee are:

What cities in Tennessee are hiring for Orchestration jobs?

Cities in Tennessee with the most Orchestration job openings:

Orchestration jobs near you
Infographic showing various Orchestration job openings in Tennessee as of August 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 74% Physical, 8% Hybrid, and 18% Remote job distribution, with an average salary of $135,140 per year, or $65 per hour.

Senior Engineer, AI Agentic & Transformation

Lifepoint Health

Brentwood, TN • On-site

$98K - $135K/yr

Full-time

Re-posted 19 days ago

LifePoint Health rating

5.9

Company rating: 5.9 out of 10

Based on 272 frontline employees who took The Breakroom Quiz

766th 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

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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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