Req ID: 388183

We are currently seeking a AI Integration Engineer (Python, Rest API, FTE / Hybrid) to join our team in Charlotte, North Carolina (US-NC), United States (US).

Position Summary

The AI Integration Engineer will design, build, test, and operate reusable integrations between Tachyon and approved enterprise engineering services. This hands-on role enables governed tool access and streamlined engineering workflows through APIs, webhooks, MCP, CI/CD automation, security controls, observability, and reusable connector patterns.

Key Responsibilities

• Design, build, and maintain reusable integrations between Tachyon and enterprise services for documentation, design collaboration, work management, reporting, security scanning, testing, delivery, and observability.
• Develop governed MCP-enabled tools and local workflows that provide secure, approved access to enterprise engineering capabilities.
• Build API, webhook, event-driven, and SDK-based integration patterns that are reusable across teams and use cases.
• Integrate security and software-composition scanning into development and delivery workflows.
• Implement automated functional, integration, performance, and regression testing for integration services and workflows.
• Support CI/CD pipelines, code quality controls, release automation, versioning, and production deployment practices.
• Implement authentication, authorization, secrets handling, audit logging, and access controls in line with enterprise security requirements.
• Build telemetry, dashboards, alerts, and runbooks to support operational visibility and troubleshooting.
• Partner with platform engineering, security, developer experience, product, and enterprise-tool owners to define integration requirements and acceptance criteria.
• Produce integration documentation, reference implementations, onboarding guides, and reusable templates to enable self-service adoption.

Required Qualifications

• 5+ years of software, platform, or integration engineering experience.
• 5+ years strong hands-on Python development experience.
• Experience building REST APIs, webhooks, SDKs, connectors, or enterprise integration services.
• Experience with CI/CD, Git, automated testing, and production support practices.
• Working knowledge of MCP and governed AI tool-integration patterns.
• Experience with authentication, authorization, secure API design, secrets management, logging, and auditability.
• Experience integrating or operating security scanning, test automation, performance testing, observability, or Agile engineering toolchains.
• Strong communication and documentation skills.

Required Skills / Knowledge

• Python, REST APIs, webhooks, event-driven integration, and enterprise integration patterns.
• MCP, tool schemas, governed tool access, and local MCP-enabled workflows.
• CI/CD, automated testing, release automation, and software delivery practices.
• Security and software-composition scanning, vulnerability reporting, and remediation workflow integration.
• Test automation, performance testing, and integration validation.
• Observability, telemetry, dashboards, alerting, logging, and production troubleshooting.
• Authentication, authorization, secrets management, API security, and auditability.
• Documentation, reporting, Agile work management, and developer productivity toolchains.

Preferred Qualifications

• Experience with enterprise AI platforms, developer platforms, internal engineering portals, or shared-services platforms.
• Experience with cloud-native applications, Kubernetes, and containerized integration services.
• Experience in regulated enterprise environments.
• Experience designing reusable connector frameworks or integration marketplaces.

Expected Outcomes

• Reusable, governed integrations that connect Tachyon with approved enterprise engineering services.
• Secure MCP-enabled tool access and standardized local engineering workflows.
• Improved developer productivity, delivery automation, testing, security visibility, and operational observability.
• Documented integration patterns and reference implementations that support scalable self-service adoption.

#LI-NorthAmerica

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $96,800.00 - $145,200.00. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications.

This position may also be eligible for incentive compensation based on individual and/or company performance.

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use [redacted].com, [redacted].com and [redacted].nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.