AI Cloud Platform Engineer

Description 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 One Drive, SharePoint, and enterprise data sources
* Integrate with Microsoft Graph, Entra , 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 Dev Ops  & 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, One Drive, SharePoint, and Microsoft Entra
* Experience integrating and operating OpenAI, Anthropic, or similar LLM platforms in production environments
* Proficiency in Python, Type Script, or JavaScript with strong testing, troubleshooting, and code review practices
* Experience with Terraform, Git-based development, and CI/CD tools such as Git Hub 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 Agent Core, 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, Cloud Watch, and cloud cost optimization
* Background enabling enterprise developer platforms, security tooling integrations, and AI-assisted software development practices

Job Type Contract Compensation
34 - $46