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System Integration Manager Jobs in Tennessee (NOW HIRING)

Lightedge

Sr. AI Integration Engineer

Nashville, TN

$100K - $135K/yr

Working knowledge of security, access controls, logging, monitoring, and change-management practices for business-critical systems. * Strong proficiency in Python for AI integrations, workflow ...

DHL

Warehouse Mgmt. System (WMS) Manager

Memphis, TN · On-site

$85K - $150K/yr

System Integration with other systems, such as ERP, TMS, PKGS or order management systems, to ensure seamless data flow between systems. * Technical Support for the DHL site team and customer, as ...

DPDHL

Warehouse Mgmt. System (WMS) Manager

Memphis, TN

$85K - $150K/yr

System Integration with other systems, such as ERP, TMS, PKGS or order management systems, to ensure seamless data flow between systems. * Technical Support for the DHL site team and customer, as ...

Thermo Systems

$125K - $175K/yr

Lead complex automation and control system integration projects from proposal through closeout ... Manage project financial performance including forecasting accuracy, cost tracking, and change ...

DHL

Warehouse Mgmt. System (WMS) Manager

Chattanooga, TN · On-site

$85K - $150K/yr

System Integration with other systems, such as ERP, TMS, PKGS or order management systems, to ensure seamless data flow between systems. * Technical Support for the DHL site team and customer, as ...

DPDHL

Warehouse Mgmt. System (WMS) Manager

Chattanooga, TN · On-site

$85K - $150K/yr

System Integration with other systems, such as ERP, TMS, PKGS or order management systems, to ensure seamless data flow between systems. * Technical Support for the DHL site team and customer, as ...

Lineage Logistics Holding, LLC

Experience integrating with Warehouse Management Systems (WMS), Transportation Management Systems (TMS), or Procurement platforms. * Familiarity with supply chain or 3PL logistics environments.

Denso

Manager | 6015 NAPE | 1st Shift

Maryville, TN · On-site

Standards, Frameworks & System Integration * Manage and direct the team coordinating standards development across Manufacturing, Logistics, IT/Digital, and Data functions. * Accountable for the team ...

Denso

Manager | 6015 NAPE | 1st Shift

Maryville, TN

Standards, Frameworks & System Integration * Manage and direct the team coordinating standards development across Manufacturing, Logistics, IT/Digital, and Data functions. * Accountable for the team ...

L3HHCM20

Senior Specialist, Systems Engineer

Nashville, TN · On-site

$100K - $138K/yr

... management, and system integration and verification practices. Preferred Additional Skills: Model-based systems engineering (MBSE) familiarity. Experience with multi-domain mission systems and secure ...

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All JobsSystem Integration JobsSystem Integration Manager JobsSystem Integration Manager Jobs in Tennessee

System Integration Manager information

See Tennessee salary details

$33.6K

$100.9K

$177.9K

How much do system integration manager jobs pay per year?

As of Jul 15, 2026, the average yearly pay for system integration manager in Tennessee is $100,856.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,600.00 and $120,300.00 per year, depending on experience, location, and employer.

What does an integration manager do?

An integration manager oversees the process of combining different systems, software, or applications to work together effectively within an organization. They coordinate technical teams, develop integration strategies, and ensure seamless data flow, often using tools like APIs and middleware. Strong project management and technical skills are essential for success in this role.

What does a System Integration Manager do?

A System Integration Manager is responsible for overseeing the process of combining different subsystems or components into a single, unified system to ensure they work together seamlessly. They manage integration projects from planning to execution, coordinate with various teams, and troubleshoot issues that arise during the integration process. Their role also includes ensuring compatibility, optimizing performance, and maintaining documentation. System Integration Managers often work across IT, engineering, and business departments to deliver complex solutions on time and within budget.

What is the difference between System Integration Manager vs Systems Engineer?

AspectSystem Integration ManagerSystems Engineer
CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like PMP or CiscoBachelor's or Master's in Engineering, Computer Science; certifications like Cisco, CompTIA, or Microsoft
Work EnvironmentLeads teams, manages integration projects, coordinates between departmentsDesigns, develops, tests systems, and supports implementation
Industry UsageCommon in IT, telecommunications, and large enterprise projectsUsed across IT, software development, and hardware systems

The System Integration Manager focuses on overseeing integration projects and team coordination, while the Systems Engineer is more involved in designing and implementing technical solutions. Both roles require technical knowledge, but the Manager emphasizes project management and leadership, whereas the Engineer emphasizes technical development and support.

What is the highest paying manager position?

The highest paying manager positions typically include executive roles such as Chief Executive Officer (CEO), Chief Operating Officer (COO), and Chief Financial Officer (CFO), with salaries often exceeding several hundred thousand dollars annually. Among managerial roles, senior-level positions in industries like finance, technology, and healthcare tend to offer the highest compensation, especially with advanced degrees and extensive experience.

What does a systems integration manager do?

A systems integration manager oversees the process of combining different subsystems and software applications into a unified, functioning system. They coordinate technical teams, develop integration plans, and ensure compatibility, often using tools like middleware and APIs to facilitate seamless operation across platforms.

What are common challenges faced by System Integration Managers when coordinating between multiple technical teams?

System Integration Managers often encounter challenges related to aligning diverse technical teams with varying priorities, tools, and workflows. Ensuring seamless communication, maintaining project timelines, and resolving compatibility issues between different systems are frequent hurdles. Success in this role requires strong project management skills, diplomatic communication, and a proactive approach to problem-solving. Building strong relationships across departments and setting clear integration milestones can greatly help in overcoming these challenges.

How much do integration specialists make?

Integration specialists typically earn between $70,000 and $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in systems like SAP or Oracle can earn higher salaries, especially with certifications and extensive technical expertise.

What are the key skills and qualifications needed to thrive as a System Integration Manager, and why are they important?

To thrive as a System Integration Manager, you need a strong background in systems engineering, project management, and integration methodologies, typically supported by a relevant degree and experience in IT or engineering fields. Familiarity with integration tools such as middleware platforms (e.g., MuleSoft, Dell Boomi), APIs, and certifications like PMP or ITIL are highly valued. Excellent leadership, problem-solving, and communication skills enable effective coordination among cross-functional teams and stakeholders. These skills ensure seamless integration of complex systems, minimize downtime, and drive successful project delivery.
System Integration Manager jobs near you
Infographic showing various System Integration Manager job openings in Tennessee as of July 2026, with employment types broken down into 90% Full Time, 5% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $100,856 per year, or $48.5 per hour.
Sr. AI Integration Engineer

Sr. AI Integration Engineer

Lightedge

Nashville, TN

$100K - $135K/yr

Other

Re-posted 19 days ago

Job description

LightEdge Solutions is developing the IT solutions that will propel businesses forward over the next 10 years. Using a combination of shared and private/dedicated platforms, LightEdge has been successful in offering businesses alternatives that streamline operations, improve reliability and reduce costs.
If you are passionate about creating real solutions that help businesses with cutting-edge technology, want to be challenged to think out of the box and be in a position where you can impact change on a daily basis, then LightEdge can offer you a dynamic corporate environment built on teamwork and personal responsibility.

The Senior AI Integration Engineer plays a central role in building, integrating, deploying, and supporting AI-driven workflows across Lightedge's core operational and business systems. This position is an execution partner to AI architecture leadership, helping translate agentic design concepts and approved business needs into production-ready AI agents, automations, and integrations that improve workflow execution, operational efficiency, and decision support.

The ideal candidate combines strong software engineering and systems integration skills with practical experience delivering AI-enabled workflows in business environments. This person must be comfortable working directly with stakeholders to gather requirements, refine scope, and iterate quickly, while also owning a backlog of business-facing AI workflows and serving as the primary technical owner for those workflows once they move into production.

Key Responsibilities
  • AI Agent, Harness & Workflow Development: Design, develop, and maintain production-grade AI agents, harnesses, workflows, services, and integrations that support internal business processes and cross-functional execution.
  • AI Agent & Workflow Lifecycle Management: Own the end-to-end lifecycle of AI agents and AI-driven workflows, from intake and requirements shaping through production readiness, deployment, monitoring, support, periodic review, and continuous improvement.
  • Stakeholder Partnership: Work directly with internal teams to gather requirements, refine scope, collect feedback, and translate business needs into practical AI-enabled workflow solutions.
  • Owned Backlog: Maintain and execute a backlog of high-value business-facing AI workflows and automations that align with Lightedge priorities across operations, support, sales, and other internal functions.
  • System Integration: Build and support integrations across enterprise systems such as ServiceNow, Salesforce, portals, APIs, middleware, and other workflow platforms used by the business.
  • Production Ownership: Serve as the primary technical owner for AI workflows once they move from prototype into production, unless and until a deliberate transition to another long-term owner is defined.
  • Operational Support: Provide first-level support for production AI workflows that support critical business processes, including monitoring, issue triage, defect resolution, incident coordination, and early-life stabilization.
  • Controls and Readiness: Implement the controls required for safe production adoption, including testing, evaluation, observability, secrets handling, approval steps, rollback planning, and change-management alignment.
  • Engineering Standards: Contribute to codebases, deployment pipelines, support practices, and implementation standards for AI-enabled workflow delivery.
  • Optimization: Monitor, evaluate, and optimize the accuracy, reliability, cost, and business effectiveness of deployed AI workflows and integrations.
  • Documentation: Maintain clear technical documentation, workflow diagrams, runbooks, support notes, and production-readiness artifacts for delivered solutions.
  • Cross-Functional Collaboration: Partner with AI architecture, Security, Compliance, IT, Operations, and platform teams to ensure AI workflows are secure, supportable, and aligned with governance requirements.
  • Communications: Regularly communicate delivery status, risks, support needs, and business impact to stakeholders and leadership.
  • Architecture Contribution: Contribute implementation insight and field feedback into broader AI design and governance decisions, while not serving as the primary owner of enterprise AI strategy or architecture.
Required Qualifications
  • Experience building and supporting production workflow integrations across enterprise systems such as ServiceNow, Salesforce, APIs, middleware, and related business platforms.
  • Experience taking prototypes, proofs of concept, or citizen-developed automations into governed production environments with appropriate controls, reliability, and supportability.
  • Experience supporting production applications, integrations, or automations with direct operational ownership responsibilities.
  • Working knowledge of security, access controls, logging, monitoring, and change-management practices for business-critical systems.
  • Strong proficiency in Python for AI integrations, workflow automation, and data processing.
  • Experience with one or more of JavaScript/TypeScript, Java, or C# for API and application development.
  • Experience building and supporting APIs, microservices, distributed systems, and CI/CD pipelines.
  • Experience translating business requirements into production-ready technical workflows and integrations.
  • Experience evaluating AI outputs, prompt behavior, workflow quality, and operational reliability before production release.
  • Experience deploying and supporting production systems in cloud environments such as AWS, Azure, or GCP.
  • Ability to work directly with stakeholders to gather requirements, define scope, and iterate based on feedback.
  • Excellent communication skills and ability to translate technical decisions into business impact.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
  • 5+ years of relevant experience in software engineering, systems integration, workflow automation, or AI-enabled application delivery.
Preferred Qualifications
  • Experience integrating AI-enabled workflows into ServiceNow, Salesforce, or similar enterprise platforms.
  • Experience building LLM-based applications, agents, or workflow automations using frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent tools.
  • Experience developing AI-powered assistants, copilots, or intelligent automation workflows used by business teams.
  • Experience with prompt engineering, evaluation, and tuning of generative AI systems in production contexts.
  • Experience with Kubernetes and container-based deployment models.
  • Experience with MCP-style integration patterns, orchestration layers, or agent-accessible tool frameworks.
  • Experience with SQL and working with operational or analytics data across enterprise platforms.
  • Familiarity with vector databases, RAG pipelines, and workflow patterns that combine structured system context with LLM reasoning.
  • Familiarity with observability, support runbooks, and incident response practices for automation or integration services.
  • Experience with enterprise LLM platforms including ChatGPT, Claude, Gemini, Copilot, or similar tools.
  • Previous experience owning a backlog of automation or AI workflow enhancements for internal business users.
Success Metrics
  • Timely delivery of production-ready AI workflows that move approved use cases from prototype into governed production.
  • Reduction in manual work, cycle time, or support effort through well-integrated AI automations.
  • Reliable operation and first-level support of AI workflows that support critical business processes.
  • Strong stakeholder adoption and satisfaction across the internal teams using delivered AI workflows.
  • Clear business ROI from deployed AI workflows and automations.
  • Growth of a prioritized backlog of business-facing AI workflows aligned to Lightedge objectives.
With over 20 years in business, LightEdge offers a full stack of best-in-class IT services delivering flexibility, security, and control. Our solutions include premier colocation across seven purpose-built data centers spanning Des Moines, IA, Kansas City, MO, Omaha, NE, Austin, TX, and Raleigh, NC, industry-leading private Infrastructure as a Service (IaaS) and cloud platforms, and the top global security and compliance measures. Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices make up a true Hybrid Cloud Solution Center. LightEdge annually undergoes third-party audits for ISO 20000-1, ISO 27001, HIPAA, PCI-DSS 3.2, and SSAE 18 SOC 1 Type II, SOC 2 Type II and SOC 3.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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