Senior Ai Cloud Platform Engineer Aws

Seeking a Senior AI Cloud Platform Engineer to design, build, deploy, and operate Model Context Protocol (MCP) services that provide approved access to OneDrive and SharePoint content and actions for ChatGPT, Claude, and internal agents.
The role also involves building and operating reusable agent runtime and gateway services on AWS, including tool access, identity, session or memory management, observability, and operational controls; use Amazon Bedrock AgentCore where it fits the architecture.

Roles and Responsibilities:
Design, build, deploy, and operate Model Context Protocol (MCP) services that provide approved access to OneDrive and SharePoint content and actions for ChatGPT, Claude, and internal agents.
Build and operate reusable agent runtime and gateway services on AWS, including tool access, identity, session or memory management, observability, and operational controls; use Amazon Bedrock AgentCore where it fits the architecture.
Apply OAuth 2.0, OpenID Connect, service identities, and authorization controls to enterprise data access.
Integrate with Microsoft 365 using Microsoft Graph, OneDrive or SharePoint, and Microsoft Entra ID app registrations and permissions.
Work with OpenAI and Anthropic developer platforms or comparable LLM APIs, including tool calling, agent workflows, context handling, evaluation, and limitations of generated outputs.
Work with Microsoft 365 tenant governance, SharePoint site scoped access, delegated consent, and permissions troubleshooting.

Required Skills:
10+ years of relevant software, cloud, or platform engineering experience, including 5+ years designing, delivering, and operating production cloud services.
Strong AWS experience with IAM, networking, APIs, containers or serverless, observability, and secrets management.
Experience building APIs, integrations, or MCP servers.
Experience applying OAuth 2.0, OpenID Connect, service identities, and authorization controls to enterprise data access.
Practical Microsoft 365 integration experience with Microsoft Graph, OneDrive or SharePoint, and Microsoft Entra ID app registrations and permissions.
Hands-on experience with OpenAI and Anthropic developer platforms or comparable LLM APIs, including tool calling, agent workflows, context handling, evaluation, and limitations of generated outputs.

Preferred Skills:
Experience with Amazon Bedrock AgentCore, particularly Gateway, Runtime, Identity, Memory, or Observability; production implementation is a strong plus.
Experience with Microsoft 365 tenant governance, SharePoint site scoped access, delegated consent, and permissions troubleshooting.