AI Platform Engineer
Cardinal Health
About the role
About the Role
The AI Platform Engineer is a hands-on technical leader driving the technical strategy, architecture, and delivery of critical AI platform capabilities, including cutting-edge Generative and Agentic AI technologies. This role not only develops reusable patterns and technology architectures but also accelerates the adoption of next-generation platforms while simplifying processes and enhancing business value.
The Engineer collaborates closely with engineering managers and stakeholders to transform requirements into actionable technical roadmaps, leading a dedicated team with a strong emphasis on reliability, security-by-design, and an enhanced developer experience.
Key Responsibilities
- Design and implement a cohesive AI platform, making key build-versus-buy decisions for components like Agent Engines, MCP Servers, AI-enabled Enterprise Search, and Agentic Orchestration.
- Conduct options analysis and provide estimates based on high-level requirements; set the technical direction for platform designs and technology architecture.
- Define and standardize best practices that facilitate product teams in moving from experimentation to production efficiently.
- Enhance underlying platform tools to minimize lead time and increase developer usability and consistency across teams.
- Integrate
Responsibilities
- The Engineer collaborates closely with engineering managers and stakeholders to transform requirements into actionable technical roadmaps, leading a dedicated team with a strong emphasis on reliability, security-by-design, and an enhanced developer experience
- Design and implement a cohesive AI platform, making key build-versus-buy decisions for components like Agent Engines, MCP Servers, AI-enabled Enterprise Search, and Agentic Orchestration
- Conduct options analysis and provide estimates based on high-level requirements; set the technical direction for platform designs and technology architecture
- Define and standardize best practices that facilitate product teams in moving from experimentation to production efficiently
- Enhance underlying platform tools to minimize lead time and increase developer usability and consistency across teams
- Integrate
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