Agent Gateway & Platform Integration Engineer

NTT DATA is a $30 billion trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. We help clients innovate, optimize, and transform with consulting, data and artificial intelligence, industry solutions, and development, implementation, and management of applications, infrastructure, and connectivity.

About the role

This hands-on engineering role focuses on building governed model routing, agent-to-agent connectivity, MCP integrations, reusable connectors, SDK migration utilities, and platform integration patterns that enable scalable Agentic AI development on Tachyon.

Responsibilities

• Design, build, test, and maintain integration services for Agent Gateway and related platform capabilities.
• Implement MCP connectivity, agent-to-agent interaction patterns, reusable tools, and enterprise system integrations.
• Build governed model routing, API-based services, SDK utilities, and reusable integration patterns.
• Implement authentication, authorization, auditability, observability, resilience, and automated testing controls.
• Collaborate with Product Owners, architects, security, and platform teams to deliver production-ready capabilities.
• Support CI/CD, code quality, documentation, troubleshooting, and operational readiness.
• Help migrate or standardize existing SDK/integration patterns into reusable Tachyon platform capabilities.

Requirements

• 7 years of software engineering experience with enterprise platforms, integration services, APIs, or cloud-native applications.
• 7 years of strong hands-on Python development experience.
• Experience building REST APIs, SDKs, reusable libraries, integration services, or platform services.
• Experience with CI/CD, Git, automated testing, containers, and production operations.
• Understanding of authentication, authorization, logging, monitoring, and secure integration patterns.

Skills

• Python, REST APIs, SDK design, MCP concepts, agent interoperability, integration architecture, CI/CD, automated testing, and cloud-native engineering.
• Hands-on experience or strong working knowledge of LangChain, LangGraph, Google ADK, or similar Agentic AI frameworks.
• Observability, telemetry, resilience, API security, and production troubleshooting.

Preferred Qualifications

• Experience with enterprise AI platforms, GenAI applications, RAG systems, multi-agent systems, or developer platforms.
• Kubernetes, cloud platforms, event-driven integrations, and regulated enterprise delivery experience.
• Banking or financial services experience.

Expected Outcomes

• Production-ready integration services and reusable connectors.
• Governed MCP and agent connectivity patterns.
• Improved model routing, platform integration, and SDK adoption.

Pay

The starting pay range for this role is $65/Hr to $75/Hr. Actual compensation will depend on relevant experience, technical skills, and other qualifications.

Benefits

• Medical, dental, and vision insurance.
• Flexible spending or health savings account.
• AD&D insurance and employee assistance program.
• 401k program.
• Additional voluntary or legally-required benefits.

Schedule

U.S. On Location / Hybrid