Farmers Insurance

Solution Engineer – Applied AI

Farmers Insurance

full-time

Posted on:

Location Type: Hybrid

Location: Woodland HillsCaliforniaUnited States

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Salary

💰 $108,375 - $205,750 per year

Job Level

About the role

  • Demonstrates customer needs by interpreting into viable solutions and leads the system design.
  • Effectively breaks down features and writes and refines user stories, including clear and accurate acceptance criteria.
  • Executes Test-Driven (TDD) and Behavior-Driven Development (BDD) to build in quality.
  • Performs broad and detailed impact assessments relating to people, processes, and/or technology to evaluate work.
  • Supports implementation activities, troubleshoots user/system environmental issues, and provides training.
  • Supports business in building a Lean Business case and breaking epics into features.
  • Identifies and raises issues, risks with functional design, and offers alternative solutions.
  • Works with the Product Owner to confirm that the code and acceptance tests reflect the desired functionality.
  • Codes instructions for computer programs/objects/components in multiple applications; configures packaged software.
  • Provides a high level of expertise in the solution design and functionality of business applications.
  • Reviews and validates the application technical design of team members to ensure alignment with business needs and best practice architecture principles.
  • Responsible for the conceptual design/architecture of business applications, monitors, and mentors lower-level colleagues to ensure accuracy of program logic and efficient use of computer and storage resources.
  • Conducts system studies, analyzes existing computerized and manual processes to improve efficiency.
  • Researches and develops techniques for automation.
  • Documents and implements programs according to installation standards and conventions.
  • Analyzes and makes recommendations on the need for system backup, security, restart/recovery, balancing controls, and recommends approaches for meeting such needs.
  • Analyzes and documents the requirements and approaches to data conversion and data modeling.
  • Quality checks program code, related objects, and documentation.
  • Delivers working code each sprint.
  • Conducts audits to ensure test planning and execution adhere to standards and guidelines.
  • Defines advanced test plans needed to achieve an appropriate level of coverage.
  • Contributes to the overall test strategy.
  • Develops and documents application quality and testing standards and best practices and measuring techniques.
  • Mentors junior team members in test planning and execution tools and techniques.
  • Participates in key ceremonies to drive execution, improve flow, and ensure transparency.
  • Provides limited guidance to junior team members when needed.
  • Plans work via the preparation for and participation in Program Increment (PI) Planning and Sprint Planning, which includes developing and committing to Team PI Objectives and Sprint goals.
  • Demonstrate working code to Product and Business Owners and support the Product Owner in the execution of the iteration and PI System Demos.
  • Actively participates in the Sprint Retrospectives, Inspect and Adapt, discusses opportunities for improvement, and is responsible for executing improvement stories.
  • Participates in Daily Stands-ups.

Requirements

  • Minimum 1 year as a Agile Dev Team Member IV or 9 + years in a relate field
  • 7 years of experience working in application development, preferred
  • Specific experience must also include 1 year of experience mentoring junior developers, strongly preferred
  • Proficiency in Python frameworks (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) Required
  • Strong knowledge of ML techniques, including model training, evaluation, optimization, Data preprocessing feature engineering and deployment experience Required
  • Hands-on experience with AI/ML development on Google Cloud Platform using Vertex AI, BigQuery, Cloud Functions, and Cloud Storage Preferred
  • Experience with semantic search including embeddings and vector search techniques preferred
  • Expertise in Gen AI Implementations including LLM model evals, RAG pipelines, and Prompt Engineering preferred
  • Experience with NLP and Vision algorithms preferred (text extraction, image classification, object detection, segmentation)
  • Familiarity with GCP services such as DocAI, CCAI Insights, and advanced conversational AI solutions preferred.
  • SAFe Practitioner or SAFe Agilist Certification and SAFe DevOps Certification within 180 days of hire required.
  • GCP certifications (Machine Learning Engineer, Associate Cloud Engineer) or equivalent cloud certifications preferred.
Benefits
  • 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonNumPyPandasScikit-learnTensorFlowPyTorchML techniquesData preprocessingFeature engineeringNLP algorithms
Soft skills
mentoringcollaborationproblem-solvingcommunicationleadershipadaptabilitycritical thinkingteamworktransparencyimprovement mindset
Certifications
SAFe PractitionerSAFe AgilistSAFe DevOps CertificationMachine Learning EngineerAssociate Cloud Engineer