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Staff Applied AI Engineer

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Staff Applied AI Engineer in USA

  • South Jordan, UT

Responsibilities

  • Build pipelines combining Snowflake and unstructured data sources into modeling-ready datasets.
  • Produce churn and retention analytics with confidence or credible intervals and communicate their limitations.
  • Develop predictive and prescriptive models for forecasting, propensity, optimization, and recommendations.
  • Design and deploy token-efficient LLM-powered agents and workflows with retrieval, caching, model routing, and evaluation systems.
  • Define enterprise reference architectures, integration patterns, governance standards, diagrams, and documentation.
  • Establish monitoring, evaluation, and guardrails for drift, accuracy, bias, safety, and cost across ML and GenAI systems.
  • Translate ambiguous business problems into technical solutions and explain tradeoffs to non-technical stakeholders.

Requirements

  • Hands-on Snowflake data engineering, SQL, data modeling, performance optimization, cost management, and unstructured-data wrangling.
  • Applied statistics experience building churn or retention models and expressing uncertainty with confidence or credible intervals.
  • Demonstrated experience delivering predictive and prescriptive analytics that influence business decisions.
  • Production experience with LLM or agentic systems using LangGraph, the Claude Agent SDK, CrewAI, or custom orchestrators.
  • Experience optimizing AI systems for token efficiency, cost, and latency.
  • Strong production RAG experience, including chunking, hybrid search, reranking, and retrieval evaluation.
  • Ability to design and document end-to-end architectures and reusable patterns.
  • Strong Python and software-engineering practices, including testing, version control, and CI/CD.
  • Excellent written and verbal communication and comfort working asynchronously in a distributed team.
  • Preferred qualifications include AWS Solutions Architect, Google Cloud Professional ML Engineer, Azure AI Engineer, and/or TOGAF certifications.
  • Preferred experience includes inference optimization with quantization, model routing, caching, vLLM, or TensorRT-style serving; MLOps/LLMOps tooling; platform building; and AI strategy or build-vs-buy ownership.

Benefits

  • Flexible work-from-home or office working model supporting work-life balance.
  • Health, wellness, and financial plans for employees and families.
  • Global collaboration with teams across more than 23 countries.
  • Learning and development tools and programs.
  • Equity and an inclusive, equal-opportunity workplace.

Ivanti

Ivanti builds enterprise IT and security software for unified endpoint management, patching, asset management, and IT service management, anchored by the Ivanti Neurons platform. It sells subscriptions and services to large organizations that need to manage and secure fleets of devices and applic...

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