AI Cloud Platform Engineer

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

• 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

• 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

• 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

• 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

• 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

• 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

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance,…