REMOTE AI Observability Engineer

Job Description

A retail client is seeking a Senior AI Observability & Governance Engineer to help expand enterprise AI observability capabilities by integrating Snowflake Cortex with our AI observability and governance platform built on Arize.

Today, the AI observability and governance platform provides monitoring, tracing, governance, and evaluation capabilities for our generative AI ecosystem. As Snowflake Cortex adoption grows across the organization, we need an engineer who can connect Cortex workloads into the existing platform framework to ensure consistent observability, governance, and compliance standards across the enterprise.

This role sits at the intersection of software engineering, AI platforms, MLOps, data engineering, and observability.

Key Responsibilities

Design and implement integrations between Snowflake Cortex and internal platform built in Arize.

Enable monitoring, tracing, and evaluation of AI applications running within Snowflake.

Instrument LangGraph and agent-based AI workflows for observability and governance.

Build APIs, connectors, and services that bridge Snowflake AI workloads with existing platform's capabilities.

Ensure existing governance policies, sensitivity controls, and compliance requirements are applied consistently across Cortex workloads.

Collaborate closely with the platform team and other engineering stakeholders.

Document implementation patterns and create reusable onboarding guidance for future AI teams.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

5+ years of experience in software engineering, AI platform engineering, MLOps, ML engineering, or data engineering.

Strong Python development skills.

Strong SQL skills.

Experience with LangGraph or similar agentic AI orchestration frameworks.

Experience integrating multiple enterprise platforms through APIs, SDKs, webhooks, or event-driven architectures.

Experience monitoring, governing, or operating AI/ML systems in production.

Ability to work independently in a highly collaborative environment. Experience with AI observability platforms such as Arize, Phoenix, LangSmith, or similar.

Experience with Snowflake Cortex, Cortex Agents, Cortex Analyst, or Snowpark.

Knowledge of OpenTelemetry and OpenInference standards.

Experience with AI governance, responsible AI, or model evaluation frameworks.

Experience integrating monitoring or observability tooling with Snowflake, Databricks, AWS, or other enterprise platforms.

Familiarity with data lineage, trace collection, monitoring, and alerting systems.