Staff Applied AI Engineer - Build AI & LLM Agents

Ivanti; Utah; Hybrid; USD 180,000 - 240,000; Full time

Job summary

Ivanti is seeking a senior data and AI practitioner who can take raw data through production AI systems and enterprise architecture. You will ingest data from Snowflake and unstructured sources, build defensible analytics, and ship cost-efficient, intelligent AI solutions across the organization.

You will design reference architectures, optimize for token efficiency, and collaborate with stakeholders to translate business problems into technical solutions while maintaining rigorous quality and

Qualifications

• Hands-on data engineering with Snowflake and SQL.
• Experience building churn/retention models with uncertainty.
• Production experience with LLM/agentic systems.
• Strong Python and software engineering mindset.

Responsibilities

• Unify structured and unstructured data from Snowflake and other sources into clean, modeling-ready datasets.
• Deliver decision-grade analytics with quantified uncertainty and clear limitations.
• Build predictive and prescriptive analytics that inform business actions.
• Engineer agentic AI systems with efficient, cost-aware design and robust evaluation.
• Define enterprise reference architectures, patterns, and governance for data and AI systems.
• Own quality with monitoring, drift/bias/safety/cost guardrails for ML and GenAI.
• Translate business problems into technical solutions and communicate tradeoffs to stakeholders.

Skills

Python

Data engineering

Uncertainty quantification

CI/CD

Tools

Snowflake

LangGraph

Claude Agent SDK

CrewAI

Job description

Ivanti is seeking a senior data and AI practitioner who can take raw data through production AI systems and enterprise architecture. You will ingest data from Snowflake and unstructured sources, build defensible analytics, and ship cost-efficient, intelligent AI solutions across the organization.

You will design reference architectures, optimize for token efficiency, and collaborate with stakeholders to translate business problems into technical solutions while maintaining rigorous quality and