Senior ML Ops & Enterprise Cloud Architect

Farmers Insurance; United States; Hybrid; USD 170,000 - 260,000; Full time

Benefits offered by this job

Competitive salary

401(k)

Medical

Dental

Vision

Tuition Assistance

Paid Time Off

Paid Parental Leave

Hybrid work environment

Job summary

Farmers is seeking a Senior Enterprise Architect to define and govern technology strategy across multiple business units, shaping roadmaps and guiding initiatives spanning platforms and technologies. You will lead enterprise architecture decisions with broad autonomy and collaborate with senior leaders to align business strategy with technology execution.

The role requires extensive experience in data platforms, cloud infrastructure, and ML/AI capabilities, with a focus on scalable, secure

Qualifications

• 10+ years experience across architecture disciplines with significant enterprise architecture leadership experience.
• Experience designing and delivering enterprise-scale architecture strategies and roadmaps.
• Strong knowledge of data platforms, integration patterns, and security in distributed systems.

Responsibilities

• Architect and implement scalable AWS ML/AI cloud infrastructure in a multi-tenant SaaS environment.
• Collaborate with data scientists, data engineers, and IT teams to define requirements and best practices for ML model development, deployment, and monitoring.

Skills

AWS

ML Ops

Kubernetes

Enterprise Architecture

Data Mesh

Data Platform

Guidewire

Salesforce

Security in distributed systems

Data Pipeline Orchestration

Education

High School Diploma or equivalent

Bachelor's degree preferred

Masters degree preferred

Tools

Guidewire

Salesforce

Snowflake

RedShift

BigQuery

Airflow

Argo CD

Argo Workflows

Job description

Farmers is seeking a Senior Enterprise Architect to define and govern technology strategy across multiple business units, shaping roadmaps and guiding initiatives spanning platforms and technologies. You will lead enterprise architecture decisions with broad autonomy and collaborate with senior leaders to align business strategy with technology execution.

The role requires extensive experience in data platforms, cloud infrastructure, and ML/AI capabilities, with a focus on scalable, secure