
Solution Engineer – Applied AI, Google GCP
Farmers Insurance
full-time
Posted on:
Location Type: Hybrid
Location: Woodland Hills • California • United States
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Salary
💰 $108,375 - $205,750 per year
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
- High School Diploma or equivalent, Bachelors degree preferred in Computer Science, Information Systems, Engineering, or a related field
- 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 & Tools
PythonNumPyPandasScikit-learnTensorFlowPyTorchML techniquesAI/ML developmentNLP algorithmsVision algorithms
Soft Skills
mentoringcommunicationproblem-solvingcollaborationleadershipadaptabilitycritical thinkingattention to detailtime managementteamwork
Certifications
SAFe PractitionerSAFe AgilistSAFe DevOps CertificationMachine Learning EngineerAssociate Cloud Engineer