Principal, AI Platform Engineer

Job Purpose and Impact

Come build the AI platform that engineers across Cargill will use every dayshipping low-code and pro-code AI agents that turn real problems into real outcomes. At Cargill youre not optimizing vanity metrics; youre helping a global company that puts food on tables around the world deliver better faster safer decisions at massive scale. Were looking for engineers with integrity (do the right thing when no ones watching) hunger to learn (stay curious test iterate) and a builder mindset (prototype harden scale). Youll do well here if you move work forward even with dependencies communicate clearly and ship value in incrementsbuilding strong relationships while finding practical paths around blockers.

Key Accountabilities

• AI SOLUTION ARCHITECTURE: AI Solution Architecture: Designs and leads end to end AI platform solution design establishing technical architectural patterns designs & strategies.
• PLATFORM STRATEGY: defines the long-term platform and technology strategy for AI core capabilities across Cargill
• ADVISOR: Serves as a senior AI technology & thought leader partnering with engineering enterprise architecture and information security to align AI platforms and architecture to overall architecture decisions and frameworks.
• PLATFORM OPERATIONS & GOVERNANCE: Defines and operates processes supporting SLAs/SLOs including on-call readiness incident response runbooks and multi-team contribution models.
• SECURITY & RISK MANAGEMENT: Defines platform-level safeguards against prompt injection tool misuse and data leakage ensuring secure handling of data models and integrations partnering closely with cyber security.
• STAKEHOLDER ENGAGEMENT: Partners with business and technical leaders to align AI technology strategies with strategic priorities communicate outcomes and drive adoption across teams.
• CI/CD & ENGINEERING EXCELLENCE: Establishes and enforces CI/CD pipelines with automated testing evaluation gates versioning and safe release strategies to maintain production quality.
• MODEL & DATA ENGINEERING: Guides development and deployment of advanced models and RAG pipelines ensuring strong evaluation reproducibility and performance monitoring.
• AGENTIC SYSTEM DESIGN: Architects robust agent workflows including structured outputs tool orchestration fallback strategies and deterministic execution patterns.

Qualifications

• Minimum requirement of 6 years of relevant work experience. Typically reflects 10 years or more of relevant experience.
• 5 years building maintaining enterprise scale platforms with scalability reliability and performance
• 5 years experience in a software engineering capacity
• 3 years of architecture experience
• Hands on experience with AWS and/or Azure cloud services (Bedrock AI Foundry containers)
• Devops/platform architecture and operations experience
• Python and or Go language (vibecoding is acceptable)
• Experience in developing agents/RAG in production (CI/CD)

PREFERRED SKILLS

• Experience designing and optimizing RAG systems including chunking strategies embeddings and retrieval evaluation techniques.
• Expertise in multi-model orchestration routing strategies and cost/performance trade-off optimization.
• Strong experience with AWS services including containers IAM networking secrets management and observability.
• Familiarity with LLM observability tools (traces evals datasets) for production monitoring and regression detection.
• Experience designing reusable tool ecosystems or MCP-style integrations with strong governance and auditability.
• Proficiency in infrastructure as code (Terraform or similar) and platform automation practices.
• Ability to develop architecture diagrams technical blueprints and communicate complex systems to diverse stakeholders.

Additional Details:

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