Sr. AIData Scientist

Job Purpose and Impact

• The Senior Professional AI & Data Science job plans and leads the development of artificial intelligence models from design and prototyping through deployed solutions to drive decision making. With minimal supervision this role extracts and integrates complex data from various sources builds advanced models suitable for the business use case and evaluates model performance for accuracy scaling and deployment. This job also develops compelling and clear communication materials to facilitate partner on board.
• 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 DEVELOPMENT: Designs and delivers end-to-end AI solutions from concept to production using Python integrating LLMs RAG pipelines and structured agent workflows.
PLATFORM INTEGRATION: Builds and operates solutions on a multi-team AI platform leveraging shared services such as LLM gateways vector stores and tool ecosystems.
CI/CD & QUALITY: Implements CI/CD pipelines with automated testing evaluation checks and safe deployment practices to ensure reliable and repeatable releases.
DATA & MODEL ENGINEERING: Prepares and integrates complex datasets applies feature engineering and evaluates model and retrieval performance for accuracy and scalability.
AGENTIC WORKFLOW DESIGN: Develops robust agent behaviors including tool calling retries guardrails and deterministic outputs aligned to business requirements.
OPERATIONS & RELIABILITY: Applies telemetry-first practices (logs metrics traces) supports on-call readiness and maintains runbooks to meet defined SLAs/SLOs.
SECURITY & GOVERNANCE: Implements secure-by-default practices including secrets management access control and protections against prompt injection and data leakage.

Qualifications

• Minimum requirement of 7 years of relevant work experience.
• PREFERRED SKILLS
  Experience designing AI solutions using RAG patterns including chunking embeddings and retrieval evaluation.
  Familiarity with multi-model orchestration routing and cost/latency optimization strategies.
  Experience with AWS services including containers IAM networking and observability tooling.
  Exposure to LLM observability tools (traces evals datasets) for debugging and quality monitoring.
  Experience building reusable tool interfaces or MCP-style integrations for agent ecosystems.
  Ability to create solution diagrams workflows and technical blueprints with stakeholders.
  Familiarity with infrastructure as code and environment promotion strategies in CI/CD pipelines.