Senior AI Platform Engineer

4 - 9 years

16 - 20 Lacs

Posted:6 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Job Purpose and Impact

The Senior AI Platform Engineer for AI Ops in AI & Data Science designs, builds and operates the shared MLOps / LLMOps platform that powers Cargills data-science and GenAI products. You will own CI/CD pipelines for data ingestion, model training, evaluation and deployment; automate GPU/CPU orchestration across clouds; and embed Responsible-AI, observability and cost-optimization into every stage of the lifecycle. Success is measured by model-to-production velocity, platform uptime, and total-cost-of-ownership improvements


Key Accountabilities
  • Design & Build
  • Develop multi-agent workflow automation patterns using Agentic AI
  • Process redesign and mapping to agentic workflow patterns
  • Architect scalable micro-services that wrap LLM/RAG/Agent workflows (Python).
  • Implement robust prompt-engineering patterns, retrieval pipelines, and caching for AI Assistants and AI Agents
  • Platform Ops
  • Extend evaluation, automated testing, canary rollout, and rollback for AgentOps.
  • Profile inference latency, GPU/CPU utilization, and memory; deliver quarterly cost-to-serve reductions
  • Operational Excellence
  • Own on-call runbooks, SLOs, and incident reviews; embed observability.
  • Enablement & Mentoring
  • Coach full-stack and data-science peers on GenAI/LLMOps patterns; create internal workshops and tech blogs.

Qualifications
  • Minimum: 4 years building production software or data platforms .
  • Typical: 5-8 years, including 2+ years with cloud-native AI/ML or GenAI systems (Azure, AWS, or GCP) or 2+ years of software devlopment

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Cargill

Food and Beverage Manufacturing

Wayzata Minnesota

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