Dallas, TX (Hybrid Onsite)
Local candidates preferred.
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
