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Associate Integration Engineer Jobs in Tulsa, OK

System One

Electrical Designer

Tulsa, OK · On-site

Collaborate with project managers, architects, and other engineering disciplines to integrate ... Vocational Certificate or Associate's degree in Engineering Design or Drafting. * 3+ years of ...

System One

Electrical Designer

Tulsa, OK · On-site

Collaborate with project managers, architects, and other engineering disciplines to integrate ... Vocational Certificate or Associate's degree in Engineering Design or Drafting. * 3+ years of ...

GrayMatter

Control Systems Technician

Tulsa, OK

$28.85 - $30/hr

... calibration, SCADA integration, and PLC programming. The Control Systems Technician plays a ... Associate degree in Controls Systems Technology or equivalent preferred * 1+ years of experience in ...

Pwc

Oracle EPM - Senior Associate

Tulsa, OK · On-site

Industry/Sector Not Applicable Specialism Oracle Management Level Senior Associate & Summary A ... Data Integration, EPM automate, EPM Integration Agent; Master Data Management; User Security ...

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Showing results 41-60

All JobsAssociate Integration Engineer JobsAssociate Integration Engineer Jobs in Tulsa, OK

Associate Integration Engineer information

See Tulsa, OK salary details

$37.9K

$75.5K

$120.6K

How much do associate integration engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for associate integration engineer in Tulsa, OK is $75,478.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,800.00 and $86,800.00 per year, depending on experience, location, and employer.

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

To thrive as an Associate Integration Engineer, you need strong analytical skills, a solid understanding of integration concepts, and a relevant degree in computer science or engineering. Familiarity with integration platforms (such as MuleSoft or Dell Boomi), API protocols, and basic coding languages like Java or Python is commonly required. Excellent problem-solving abilities, teamwork, and clear communication help you stand out in this role. These skills ensure seamless system connectivity and effective collaboration, which are critical for delivering reliable integration solutions.

What are some common challenges associate integration engineers face when working on cross-departmental projects?

Associate Integration Engineers often collaborate with multiple teams, such as software developers, business analysts, and IT support, to ensure systems communicate effectively. A common challenge in these projects is aligning differing priorities and technical requirements across departments, which can sometimes result in miscommunication or delays. Success in the role often involves proactive communication, a solid understanding of integration tools, and flexibility to adapt to evolving project needs. Building strong relationships and maintaining thorough documentation can help mitigate these challenges and ensure smooth project delivery.

What is an associate integration engineer?

Associate Integration Engineers are entry-level professionals who help integrate software systems, applications, and data across different platforms within an organization. They work under the guidance of senior engineers to design, develop, test, and implement integration solutions, ensuring that various systems can communicate and share information efficiently. Their responsibilities often include writing code, troubleshooting integration issues, and maintaining documentation. This role is ideal for individuals starting their careers in IT or software engineering who are interested in system interoperability and automation.

What is the difference between Associate Integration Engineer vs Integration Specialist?

AspectAssociate Integration EngineerIntegration Specialist
Required CredentialsBachelor's in Computer Science or related field, certifications like Cisco or MuleSoft often preferredBachelor's degree, certifications in specific integration platforms (e.g., MuleSoft, Dell Boomi)
Work EnvironmentCollaborates with development teams, supports integration projects, often in IT or software companiesFocuses on designing, implementing, and maintaining system integrations, typically in enterprise settings
Employer & Industry UsageUsed by tech companies, consulting firms, and large enterprisesCommon in IT services, software vendors, and large organizations requiring system integrations

While both roles involve system integrations, the Associate Integration Engineer typically supports and assists in integration projects under supervision, whereas the Integration Specialist leads the design and implementation of integrations independently. The roles often overlap in skills and certifications but differ in responsibility level and scope.

What are popular job titles related to Associate Integration Engineer jobs in Tulsa, OK? For Associate Integration Engineer jobs in Tulsa, OK, the most frequently searched job titles are:
What job categories do people searching Associate Integration Engineer jobs in Tulsa, OK look for? The top searched job categories for Associate Integration Engineer jobs in Tulsa, OK are:
Associate Integration Engineer jobs near you
Infographic showing various Associate Integration Engineer job openings in Tulsa, OK as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 26% Part Time, 1% Temporary, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $75,478 per year, or $36.3 per hour.

Care Innovation - Senior Solution Architect 136-2001

CommunityCare

Tulsa, OK • On-site

Full-time

Posted 16 days ago

Job description

JOB SUMMARY:
The Senior Solution Architect is responsible for owning the enterprise AI architecture and providing technical leadership across AI initiatives by defining target architectures, standards, solution patterns, governance practices, and integration strategies. This role ensures AI solutions are scalable, secure, compliant, and cost-effective within a HIPAA-regulated healthcare environment while providing technical direction and mentorship to Senior Solution Engineers and engineering teams.
KEY RESPONSIBILITIES:
  • Define and maintain enterprise AI architecture standards, reference architectures, patterns, and blueprints while designing scalable, resilient, and secure AI solutions that meet functional, performance, cost, and compliance requirements across models, agents, data, applications, and infrastructure.
  • Establish architectural standards for retrieval-augmented generation (RAG), agentic systems, data grounding, and human-in-the-loop patterns.
  • Review and approve solution designs to ensure alignment to enterprise architecture and long-term technical strategy.
  • Lead the evaluation, selection, and adoption of AI products, platforms, foundation models, and services by balancing technical capabilities, accuracy, performance, cost, security, and compliance requirements.
  • Define selection criteria, conduct proofs of concept, and provide build-vs-buy and vendor recommendations to leadership.
  • Define enterprise AI guidance, principles, and usage standards, including responsible and ethical AI, safety, privacy, and acceptable-use policies.
  • Partner with the Data Governance Board and security teams to align AI practices with governance goals, HIPAA, and regulatory requirements.
  • Establish guardrails, evaluation criteria, and risk controls for AI accuracy, bias, safety, and data protection (PHI).
  • Define the secure SDLC and engineering standards for AI/ML solutions, including MLOps/LLMOps practices, CI/CD, versioning, and testing.
  • Define enterprise integration architecture standards for APIs, data flows, event messaging, and core system integrations to enable scalable, secure, and reliable solutions.
  • Define operational standards for AI systems including monitoring, observability, model performance and drift management, incident response, cost management, and continuous improvement.
  • Provide technical leadership and mentorship to Senior Solution Engineers and engineering teams by setting technical direction, promoting best practices, and enabling effective delivery through coaching, collaboration, and knowledge sharing.
  • Performs other job-related duties as required or assigned.

QUALIFICATIONS:
  • Strong understanding of enterprise solution architecture, including AI integration patterns, APIs, data architecture, security, and scalable cloud design within Microsoft Azure or comparable cloud environments.
  • Strong understanding of secure SDLC, CI/CD (Azure DevOps or GitHub Actions), secrets management, and operational best practices.
  • Strong knowledge of HIPAA and applying security, privacy, and compliance requirements to enterprise systems handling PHI.
  • Strong programming/technical foundation (e.g., Python and/or C#/.NET) sufficient to lead and review engineering work.
  • Excellent communication, leadership, and stakeholder engagement skills, with the ability to translate strategy and complex technical concepts for technical and non-technical audiences.
  • Ability to work independently while leading multiple initiatives and projects simultaneously.
  • Willingness to work in a high-tech, continually evolving, innovative environment.
  • Successful completion of Health Care Sanctions background check.

EDUCATION/EXPERIENCE:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience; advanced degree preferred.
  • A minimum of eight years in 8+ years of progressive experience in solution architecture, enterprise architecture, software, data, or engineering roles, including architecting enterprise-scale systems and delivering AI/ML or generative AI solutions in production environments.
  • Prior experience designing, configuring, and optimizing AI systems, including large language models (LLMs), generative AI, AI agents, retrieval-augmented generation (RAG), prompt engineering, model fine-tuning, evaluation, and AI platform technologies such as Azure OpenAI, Cognitive Services, and comparable LLM/ML platforms with MLOps/LLMOps practices.
  • Experience working within healthcare, insurance, or public sector environments preferred.
  • Experience defining responsible AI / AI governance frameworks in a regulated environment preferred.
  • Experience with agent frameworks and orchestration (e.g., LangChain, Semantic Kernel, Autogen), vector databases, and embeddings preferred.
  • Experience with enterprise integration platforms, RPA (UiPath), and Microsoft Power Platform preferred.
  • Certifications in Azure Solutions Architect Expert, Azure AI Engineer Associate, or TOGAF preferred.

CommunityCare is an equal opportunity at will employer and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation or national origin

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