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Senior Integration Developer Jobs in Grapevine, TX

Lightedge

Sr. AI Integration Engineer

Lewisville, TX · On-site

$97K - $130K/yr

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 ...

Lightedge

Sr. AI Integration Engineer

Dallas, TX

$102K - $138K/yr

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 ...

VeeRteq Solutions Inc.

Sr. .Net Developer

Irving, TX · On-site

$52.25 - $69.25/hr

Sr. .Net Developer (Boomi / ERP integration experience) Experience: - Min 8+ Years Location: - Irving, TX (Hybrid - 3 days Work from Office) We are looking for an experienced ERP Integration Engineer ...

New

Elevance Health

Engineer Senior

Grand Prairie, TX · On-site

$98K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Engineer Senior Engineer Senior Location: Ideal candidates will be able to report to our Pulse ... integration; * DevOps & Automation: CI/CD (Jenkins, GitHub Actions, Azure DevOps) and ...

Elevance Health

Engineer Senior

Grand Prairie, TX · Hybrid

$99K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Engineer Senior Location: Ideal candidates will be able to report to our Pulse Point location at ... integration; * DevOps & Automation: CI/CD (Jenkins, GitHub Actions, Azure DevOps) and ...

E-Space

Software Integration Lead - 5G CORE

Arlington, TX · On-site

$180K - $220K/yr

  • Medical

  • PTO

Lead and mentor a small integration engineering team (2-4 engineers); set delivery cadence and ... Hands-on experience integrating SIM or eSIM provisioning infrastructure (SM-DP+, SM-SR, or ...

E-Space

Software Integration Lead - 5G CORE

Arlington, TX · Remote

$180K - $220K/yr

  • Medical

  • PTO

Lead and mentor a small integration engineering team (2-4 engineers); set delivery cadence and ... Hands-on experience integrating SIM or eSIM provisioning infrastructure (SM-DP+, SM-SR, or ...

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All JobsIntegration Developer JobsSenior Integration Developer JobsSenior Integration Developer Jobs in Grapevine, TX

Senior Integration Developer information

See Grapevine, TX salary details

$19.9K

$109K

$158K

How much do senior integration developer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for senior integration developer in Grapevine, TX is $109,005.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,100.00 and $135,300.00 per year, depending on experience, location, and employer.

What is the difference between Senior Integration Developer vs Integration Engineer?

AspectSenior Integration DeveloperIntegration Engineer
CredentialsBachelor's in CS or related, often with certifications like MuleSoft, Dell BoomiBachelor's in CS or related, similar certifications
Work EnvironmentSoftware development teams, project-basedIT operations, system integration teams
Industry UsageTech, finance, healthcare, enterprise softwareTech, manufacturing, telecom, enterprise sectors
Search & ComparisonOften compared for seniority and technical scopeCompared for operational vs development focus

Senior Integration Developers typically focus on designing and leading complex integrations, requiring advanced coding and architecture skills. Integration Engineers often handle the implementation and maintenance of integrations, emphasizing operational support. Both roles share similar credentials but differ in scope and responsibilities, with Senior Integration Developers usually taking a more strategic and leadership role in integration projects.

What are the key skills and qualifications needed to thrive as a senior integration developer, and why are they important?

To thrive as a Senior Integration Developer, you need in-depth expertise in application integration, API development, and systems architecture, typically supported by a computer science degree and several years of relevant experience. Familiarity with integration platforms (such as MuleSoft, Dell Boomi, or IBM Integration Bus), cloud services, and proficiency in languages like Java or Python are common technical requirements. Strong problem-solving skills, effective communication, and the ability to collaborate across teams are essential soft skills in this role. These skills ensure seamless system interoperability, efficient data flow, and successful project delivery within complex enterprise environments.

How much do senior integration developers make?

Senior integration developers typically earn between $90,000 and $130,000 annually, depending on experience, location, and industry. They often have expertise in tools like MuleSoft, Dell Boomi, or Informatica and may hold certifications that can influence salary levels.

What are some common challenges faced by senior integration developers when working with multiple systems?

Senior Integration Developers often encounter challenges such as dealing with legacy systems that lack modern API support, managing data consistency across disparate platforms, and ensuring secure data transmission. Additionally, they must troubleshoot integration failures quickly to minimize business disruption and collaborate closely with other development, QA, and infrastructure teams. Staying current with evolving integration tools and best practices is also essential for delivering robust solutions.

What does a senior integration developer do?

A Senior Integration Developer is responsible for designing, developing, and maintaining solutions that enable different software systems to communicate and work together efficiently. They work with APIs, middleware, and integration platforms to connect diverse applications within an organization or with external partners. Their role often includes troubleshooting integration issues, ensuring data consistency, and optimizing performance. Additionally, they may mentor junior developers and collaborate with business stakeholders to understand integration requirements.

What cities near Grapevine, TX are hiring for Senior Integration Developer jobs?

Cities near Grapevine, TX with the most Senior Integration Developer job openings:

Senior Integration Developer jobs near you
Infographic showing various Senior Integration Developer job openings in Grapevine, TX as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $109,005 per year, or $52.4 per hour.

Sr. AI Integration Engineer

Lightedge

Lewisville, TX • On-site

$97K - $130K/yr

Full-time

Re-posted 20 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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