Principal AI Integration Architect

Shree Narayani Networking Solutions Pvt Ltd

Charlotte (NC)

On-site

USD 180,000 - 240,000

Full time

14 days+
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Job summary

Shree Narayani Networking Solutions Pvt Ltd in Charlotte, NC seeks a Principal Engineer to provide hands-on technical leadership for AI engineering platforms across the SDLC, guiding architecture, integration, governance, and operations.

The role requires driving AI-enabled transformation across SaaS and on-premises environments, and leading enterprise enablement patterns with security and compliance in mind.

Qualifications

  • 7+ years of engineering experience across multiple domains.
  • 5+ years of technical leadership driving enterprise-scale initiatives.
  • 5+ years hands-on software engineering, DevOps, cloud engineering, or infrastructure automation.
  • Experience across modern SLC, DevSecOps, CI/CD, cloud, SaaS, and on-premises environments.

Responsibilities

  • Act as a trusted technical advisor to senior leadership on complex AI engineering decisions.
  • Lead enterprise challenges spanning multiple technology areas and organizations.
  • Translate objectives into scalable engineering solutions for AI enablement.
  • Provide vision and hands-on expertise for enterprise AI capabilities.
  • Define MCP patterns, platform interoperability, and integration standards.
  • Ensure production readiness, governance, security, and operational excellence.

Skills

Engineering leadership
Software engineering
DevOps
Cloud engineering
CI/CD
Security controls
Architectural leadership
SaaS/on-prem architectures

Tools

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

Job description

Shree Narayani Networking Solutions Pvt Ltd in Charlotte, NC seeks a Principal Engineer to provide hands-on technical leadership for AI engineering platforms across the SDLC, guiding architecture, integration, governance, and operations.

The role requires driving AI-enabled transformation across SaaS and on-premises environments, and leading enterprise enablement patterns with security and compliance in mind.

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