Farmers Insurance Careers-posted 3 months ago
$143,360 - $255,500/Yr
Full-time • Senior
5,001-10,000 employees

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. Requires specialized depth and/or breadth of expertise in Enterprise Architecture or related field. 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.
  • Employ tools like Argo CD to automate infrastructure deployment and management.
  • Mentor and guide technical teams on ML Ops architecture, tooling, and best practices.
  • 6 years relevant experience in Enterprise Architecture 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
  • TOGAF Certified EA Architect preferred.
  • Competitive salary commensurate with experience, qualifications and location.
  • Bonus Opportunity (based on Company and Individual Performance)
  • 401(k)
  • Medical
  • Dental
  • Vision
  • Health Savings and Flexible Spending Accounts
  • Life Insurance
  • Paid Time Off
  • Paid Parental Leave
  • Tuition Assistance
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