Req ID: 396849
We are currently seeking a
AWS AgentCore & MCP Gateway - Technical Lead to join our team in Dallas, Texas (US-TX), United States (US).
We are looking for a hands-on
AWS and Model Context Protocol (MCP)Technical Lead with expertise to lead the architecture, implementation, and operationalization of an enterprise MCP Gateway using AWS AgentCore.
The role will be responsible for establishing a secure and scalable gateway pattern that enables developers, AI agents, and enterprise applications to securely discover and access approved MCP servers and tools.
Day to Day job Duties: - 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. These technologies align directly with the current internal gateway architecture
- Implement fine-grained authorization controlling which users, agents, MCP servers, and tools can be accessed.
- 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 both human/developer-driven MCP access and programmatic AI agent access. The future-state architecture specifically distinguishes 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 / 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.
Required Technical Skills- 8+ years of Strong hands-on experience with AWS architecture and cloud-native services
- 5 + years of strong understanding of AWS AgentCore, particularly Gateway and Identity capabilities
- 5 + years of Hands-on understanding of Model Context Protocol (MCP), MCP servers, tools, clients, gateways, and registries
- 3 + years of Experience integrating enterprise platforms through APIs/MCP, preferably GitHub, JIRA/Atlassian and AWS services
- 5 + years of experience using - AWS IAM, OAuth 2.0 / OIDC / JWT, AWS networking, VPC and private connectivity, Amazon Bedrock and Bedrock Guardrails, Cedar / policy-based authorization, API and gateway security, Infrastructure as Code, preferably AWS CDK or Terraform, CI/CD and automated deployment
Preferred Experience- 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 GenAI / 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
NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this remote role is $102,78.00 to $171,125.00. This range reflects the minimum and maximum target compensation for the position across all US locations.
Actual compensation will depend on a number of factors, including the candidate's actual work location, 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
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