Senior Ai Cloud Platform Engineer Aws

Job Summary (List Format):

- Design, build, deploy, and operate secure services (Model Context Protocol) enabling ChatGPT, Claude, and internal agents to access OneDrive and SharePoint content/actions.
- Develop and maintain reusable agent runtime and gateway services on AWS, focusing on tool access, identity, session/memory management, observability, and operational controls.
- Leverage Amazon Bedrock AgentCore components when suitable for architecture.
- Utilize extensive experience (10+ years) in software, cloud, or platform engineering, including 5+ years of designing and operating production cloud services, especially on AWS.
- Apply expertise in AWS (IAM, networking, APIs, containers/serverless, observability, secrets management).
- Build and integrate APIs or MCP servers utilizing OAuth 2.0, OpenID Connect, service identities, and robust authorization for enterprise data access.
- Integrate with Microsoft 365 services (Microsoft Graph, OneDrive, SharePoint) and manage Microsoft Entra ID app registrations and permissions.
- Work directly with OpenAI, Anthropic, or similar LLM developer platforms, focusing on tool calling, agent workflows, context handling, output evaluation, and understanding LLM limitations.
- (Bonus) Experience with Amazon Bedrock AgentCore Gateway, Runtime, Identity, Memory, Observability, especially with production implementations.
- Manage Microsoft 365 tenant governance, SharePoint site scoped access, delegated consent, and resolve permissions-related issues.