Senior AI Enablement Architect

Creative Solutions Services, LLC

Charlotte (NC)

Hybrid

USD 110,000 - 121,000

Full time

7 days ago
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Job summary

Creative Solutions Services, LLC in Charlotte, NC, is seeking an AI Integration Engineer for a 1-year engagement. Hybrid/onsite work model with responsibilities spanning architecture, integration, governance, and security across AI-enabled software pipelines.

The role requires senior engineering leadership, experience with MCP services, DevSecOps, and enterprise toolchains (Jira, GitHub, Confluence). You will drive end-to-end SDLC integration, testing, and production readiness for enterprise AI

Qualifications

  • 7+ years of engineering experience or equivalent.
  • 5+ years of technical leadership in enterprise-scale initiatives.
  • Hands-on software engineering, platform engineering, DevOps, API integration, cloud and on-premises infra.

Responsibilities

  • Act as trusted technical advisor to senior leadership on complex AI engineering decisions.
  • Lead strategy across architecture, integration, governance, and SDLC enablement.
  • Drive enterprise-ready patterns for MCP, MCP gateways, and secure platform interoperability.
  • Provide hands-on leadership for design, implementation, integration, and operationalization.
  • Define reusable architecture patterns, standards, and reference implementations.
  • Lead end-to-end architecture, authentication, authorization, and service integration design.

Skills

Engineering leadership
Enterprise architecture
DevSecOps
CI/CD
Security and governance
Observability
Platform integration

Tools

GitHub
GitHub Actions
Jira
Confluence
Figma
Artifactory
Sonar
Checkmarx
Black Duck
BrowserStack
BlazeMeter
Report Portal
Harness
ServiceNow
Splunk
AppDynamics
Ansible

Job description

Creative Solutions Services, LLC in Charlotte, NC, is seeking an AI Integration Engineer for a 1-year engagement. Hybrid/onsite work model with responsibilities spanning architecture, integration, governance, and security across AI-enabled software pipelines.

The role requires senior engineering leadership, experience with MCP services, DevSecOps, and enterprise toolchains (Jira, GitHub, Confluence). You will drive end-to-end SDLC integration, testing, and production readiness for enterprise AI

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