AI Cloud Platform Engineer

Key Responsibilities: AI Platform & MCP Services: Design, develop, and maintain Model Context Protocol (MCP) services that securely connect AI agents to OneDrive, SharePoint, and enterprise data sources. Agent Runtime & AI Infrastructure: Build reusable AI runtime and gateway services on AWS, supporting identity, memory, tool access, observability, and operational controls.

Kforce has a client seeking an AI Cloud Platform Engineer in Miami, FL. Key Responsibilities: AI Platform & MCP Services:

• Design, develop, and maintain Model Context Protocol (MCP) services that securely connect AI agents to OneDrive, SharePoint, and enterprise data sources
• Integrate with Microsoft Graph, Entra ID, and Microsoft 365 permissions while enforcing least-privilege access, auditing, and governance controls
• Implement secure content discovery, retrieval, metadata management, and permissions-aware access patterns

Agent Runtime & AI Infrastructure:

• Build reusable AI runtime and gateway services on AWS, supporting identity, memory, tool access, observability, and operational controls
• Develop scalable patterns for authentication, authorization, policy enforcement, telemetry, and lifecycle management
• Integrate OpenAI, Anthropic, and other LLM platforms with enterprise applications and workflows

AI Security & Governance:

• Partner with cybersecurity teams to implement AI security controls, including access boundaries, secrets management, audit logging, monitoring, and data protection
• Evaluate and mitigate risks such as prompt injection, excessive permissions, unauthorized data exposure, and unsafe agent actions
• Contribute to deployment automation and operational support for AI security solutions

AI Enablement & Developer Experience:

• Guide teams in adopting agentic AI, retrieval systems, tool integrations, and model selection strategies
• Create reference architectures, templates, documentation, and reusable implementation patterns
• Support enterprise adoption of AI-assisted development tools such as Claude Code, Codex, and Cursor

DevOps & Platform Engineering:

• Build developer platforms that streamline source control, CI/CD, testing, infrastructure provisioning, and deployment processes
• Enhance Infrastructure-as-Code and automation practices using Terraform and modern cloud-native tooling

Requirements:

• 10+ years of software engineering, cloud engineering, or platform engineering experience
• 5+ years of designing, deploying, and operating production cloud services
• Strong AWS expertise, including IAM, networking, APIs, containers, serverless technologies, observability, and secrets management
• Experience building APIs, integrations, MCP servers, and enterprise data access solutions using OAuth 2.0 and OpenID Connect
• Hands-on experience with Microsoft Graph, OneDrive, SharePoint, and Microsoft Entra ID
• Experience integrating and operating OpenAI, Anthropic, or similar LLM platforms in production environments
• Proficiency in Python, TypeScript, or JavaScript with strong testing, troubleshooting, and code review practices
• Experience with Terraform, Git-based development, and CI/CD tools such as GitHub Actions or CircleCI
• Strong understanding of secure software delivery, identity management, governance, and AI security best practices
• Excellent communication skills with the ability to collaborate across architecture, security, and development teams

Preferred Qualifications:

• Experience with Amazon Bedrock AgentCore, including Gateway, Runtime, Identity, Memory, or Observability capabilities
• Knowledge of Microsoft 365 governance, SharePoint permissions, and delegated consent models
• Experience with Kubernetes, ECS, API Gateway, Lambda, CloudWatch, and cloud cost optimization
• Background enabling enterprise developer platforms, security tooling integrations, and AI-assisted software development practices