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NTT Data

Global IT services and consulting provider.

AWS Agentcore & MCP Gateway – Technical Lead

AI Application EngineeringUpdated on Nov 14
Full-timeDallas, TX, USARemote

About the Job

Requirements

  • At least 8 years of hands-on experience with AWS architecture and cloud-native services.
  • At least 5 years of experience or strong understanding of AWS AgentCore, particularly Gateway and Identity capabilities.
  • At least 5 years of hands-on understanding of Model Context Protocol (MCP), MCP servers, tools, clients, gateways, and registries.
  • At least 3 years of experience integrating enterprise platforms through APIs or MCP, preferably GitHub, JIRA/Atlassian, and AWS services.
  • At least 5 years of experience with AWS IAM; OAuth 2.0, OIDC, and JWT; AWS networking, VPC, and private connectivity; Amazon Bedrock and Bedrock Guardrails; Cedar or policy-based authorization; API and gateway security; infrastructure as code, preferably AWS CDK or Terraform; and CI/CD and automated deployment.

Responsibilities

  • Lead the design, setup, configuration, and deployment of AWS AgentCore Gateway and MCP Gateway architecture.
  • Establish a centralized MCP Gateway and MCP server registry supporting approved internal and external MCP servers.
  • Configure MCP targets and integrations with platforms such as GitHub, JIRA, AWS services, and custom enterprise MCP servers.
  • Design secure authentication and authorization patterns using AWS AgentCore Identity, IAM, JWT/OIDC, OAuth/3LO, and Cedar policies.
  • Implement fine-grained authorization controlling access for users, agents, MCP servers, and tools.
  • Integrate Amazon Bedrock Guardrails and gateway request/response controls to help protect MCP interactions from prompt injection, credential leakage, inappropriate tool access, and sensitive-data exposure.
  • Design connectivity using VPC, PrivateLink/private endpoints, security groups, IAM roles, and enterprise networking patterns.
  • Build secure patterns for human/developer-driven MCP access and programmatic AI agent access, distinguishing interactive developer identity from IAM role-based agent identity.
  • Establish logging, monitoring, observability, alerting, and auditability across MCP gateway and tool invocations.
  • Automate infrastructure and configuration using AWS CDK or infrastructure as code and CI/CD pipelines, including controlled deployment and rollback.
  • Define reusable patterns for onboarding, approving, registering, updating, and decommissioning MCP servers.
  • Partner with Security, IAM, Cloud Platform, Networking, Application Engineering, and AI teams to establish enterprise MCP standards and governance.
  • Troubleshoot complex issues across identity, OAuth, networking, gateway routing, policy enforcement, MCP protocol interactions, and downstream integrations.
  • Provide technical leadership, architectural guidance, code reviews, engineering standards, and mentoring to the implementation team.

Desired Qualifications

  • Strong understanding of AI/agent security, least-privilege access, secrets management, authorization, prompt-injection risks, and secure tool execution.
  • Strong troubleshooting and solution-design capabilities across application, security, networking, and cloud layers.
  • Experience building enterprise generative AI or agentic AI platforms.
  • Experience implementing centralized gateways for multiple AI agents and MCP servers.
  • Experience with AWS Bedrock, AgentCore Runtime, Lambda, ECS, or similar AWS runtime patterns.
  • Experience designing enterprise identity federation and delegated authorization.
  • Experience working with Security and Architecture teams to productionize emerging AI technologies.

About the Company

NTT Data

Global IT services and consulting provider.

NTT DATA is a global IT and business services provider that helps organizations run and transform their technology and operations. It delivers consulting, industry solutions, cloud migration, cybersecurity, data analytics, and managed services to modernize systems and processes. It differentiates itself through its large scale, deep sector expertise in banking, healthcare, manufacturing, public sector, and automotive, and its broad ecosystem of partners with Microsoft, SAP, AWS, and Salesforce. Its goal is to help large enterprises digitally transform and optimize operations at scale using cloud-native approaches and secure IT environments.

Company size
10,001+
Company stage
IPO
Headquarters
Tokyo, Japan
Founded
1988

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