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# AI Platform Engineer

- **Company:** JBS
- **Location:** United States
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Extract Transform Load (ETL), Domain Name System (DNS), Subnetting, Python (Programming Language), Networking Basics, OAuth, Security Assertion Markup Language (SAML), Software Engineering, Google Cloud, Load Balancing, Large Language Models, Prompt Engineering, Amazon Virtual Private Cloud (VPC), AI Platforms, Enterprise Integration, Restful APIs
- **Published:** November 13, 2026
- **Apply:** https://www.dice.com/job-detail/a2ebe825-7c28-438c-8963-7f2e551eaa98

## About the Role

* Demonstrated experience designing and delivering solutions that integrate multiple systems end to end in production - with ownership from requirements through deployment.
 * Strong systems and integration skills - REST APIs, identity/auth (SSO/SAML/OAuth), enterprise data flows, event-driven and ETL/ELT patterns, and the design trade-offs that keep integrated systems reliable.
 * Hands-on software engineering ability (e.g., Python) and comfort building working prototypes, not only diagrams.
 * Solid grounding in cloud infrastructure and networking fundamentals (AWS, Azure, or Google Cloud Platform) - compute, storage, identity, VPC/subnet and DNS concepts, load balancing, and secure connectivity - enough to design and stand up the environment a solution runs in.
 * Working fluency with AI/LLM solution patterns - retrieval-augmented generation (RAG), prompt engineering, agent orchestration, human-in-the-loop design, and guardrails.