Engineer - AI Platforms

Cardinal Health is seeking an AI Platform Engineer who will be responsible for the technical strategy, architecture, and delivery of key AI platform capabilities. The role involves guiding the technical direction for platform designs, collaborating with engineering teams, and ensuring reliable operations while implementing security measures. Responsibilities: Assist with the design and implementation of a unified AI platform, assisting in critical build-versus-buy recommendations for components such as Agent Engines, MCP Servers, AI enabled Enterprise Search, and Agentic Orchestration; Provide options analysis and estimates based on high-level Qualifications: 4+ years of Cloud engineering experience; Demonstrated competency of the Agent Development Kit (ADK) and orchestration patterns like sequential, parallel, and dynamic routing; Understanding of the Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols for cross-platform interoperability (e.g., Salesforce Agentforce, ServiceNow); Strong proficiency in Python or another language (e.g., Go, Java, Rust, Bash); Experience with infrastructure automation (Terraform or similar); Mastery of Google Cloud Platform for CaaS or PaaS workloads, including VPC Service Controls for protection of sensitive data; Demonstrated ability to guide architecture, produce estimates, and execute implementations while minimizing risk to production systems Required Skills: Cloud Engineering, Agent Development Kit (ADK), Orchestration Patterns, Model Context Protocol (MCP), Agent-to-Agent (A2A) Protocols, Python, Go, Java, Rust, Bash, Infrastructure Automation, Terraform, Google Cloud Platform, VPC Service Controls, Architecture Guidance, Technical Estimation