Farmers Insurance

ML Ops Architect – Lead Enterprise Architect

Farmers Insurance

full-time

Posted on:

Location: California, Colorado, Hawaii, Illinois • 🇺🇸 United States

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Salary

💰 $143,360 - $255,500 per year

Job Level

Senior

Tech Stack

AirflowAmazon RedshiftApacheAWSBigQueryCloudDistributed SystemsGoogle Cloud PlatformGuidewireKubernetes

About the role

  • Designs and develops IT architecture strategy, standards and roadmap while creating Enterprise architecture delivery (integrated process, applications, data and technology) in alignment with Enterprise architecture vision and direction.
  • Interprets internal/external business challenges and recommends best practices to improve products, processes or services.
  • 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.
  • Evaluate and recommend tools, platforms, and cloud technologies for ML Ops, ensuring alignment with enterprise architecture standards.
  • Oversee the integration of ML pipelines with existing enterprise data and application architectures.
  • Oversee ML/AI related Kubernetes cluster management and provide guidance on alternative ML/AI workflow orchestration options such as Argo vs Kubeflow, and ML/AI data pipeline creation, management and governance with tools like Airflow.
  • Employ tools like Argo CD to automate infrastructure deployment and management.
  • Mentor and guide technical teams on ML Ops architecture, tooling, and best practices.
  • Lead Enterprise architecture delivery and influence strategy, roadmap, and data-driven insights across the organization.

Requirements

  • 6 years relevant experience in Enterprise Architecture required.
  • Data & Analytics Technology Experience Required 5+ years : AI/ML Strategy & Roadmap Development.
  • 4+ years : MLOps Tools (Eg. AWS Sagemaker, GCP Vertex AI, Databricks).
  • 3+ years : ML & Data Pipeline Orchestration (Eg. Kubeflow, Apache Airflow).
  • 2+ years : ML Feature Store Tools (Eg. Tecton, Databricks, FeatureForm).
  • 3+ years : DevOps (Eg. Argo CD / Argo Workflows), Containerization (Kubernetes, ROSA).
  • 3+ years : Enterprise Application Integration (Eg. Guidewire, Salesforce).
  • 4+ years : Data Platforms (Eg. Snowflake, RedShift, BigQuery).
  • 2+ years : GenAI Tools / LLMs (Eg. OpenAI, Gemini, etc.).
  • 1+ year : Agentic AI Frameworks (Eg. LangGraph, Autogen, Google ADK).
  • 3+ years : API Orchestration (Eg. Mulesoft, Google Cloud API).
  • 3+ years : Data Mesh Architecture & Data Product Design.
  • 3+ years : Event-Driven Architecture (EDA).
  • 4+ years : Scalable AWS ML/AI Cloud Infrastructure (Multi-tenant SaaS).
  • 3+ years : Data Architecture Guidelines Development.
  • 3+ years : Security in Distributed Systems.
  • 4+ years : Designing Scalable, Decoupled Systems.
  • 5+ years : Strategy & Roadmap Creation.
  • 3+ years : Influencing with Data-Driven Insights.
  • 4+ years : Functional Knowledge of Insurance Domains (Policy, Claims, Services Ops) - Preferred.
  • 2+ years : Legal & Compliance Regulations in Insurance - Preferred.
  • 3+ years : Data Product Development for Functional Domains.
  • 2+ years : AI-Driven Business Process Automation.
  • Bachelor's degree required.
  • TOGAF Certified EA Architect preferred.
  • Familiarity with Guidewire integrations is highly desirable.