Solution Engineer

Farmers Insurance • Los Angeles, CA

3d • $189,501 • Hybrid

About The Position

Farmers Group (Woodland Hills, CA) seeks a Solution Engineer to design, develop, and deliver scalable, enterprise-level technology solutions aligned with business objectives. Specific duties include: collaborate with stakeholders and cross-functional teams to gather requirements and translate business needs into technical designs; design end-to-end system architectures ensuring alignment with enterprise standards, scalability, performance, and security; lead solution design discussions across Agile Release Trains (ARTs) and coordinate implementation across multiple teams; define and manage non-functional requirements including performance, reliability, and availability; identify dependencies, constraints, and risks across applications and platforms; design and implement CI/CD pipelines; guide teams in coding standards, architecture patterns, and design principles; evaluate and integrate Google Cloud Platform services including Vertex AI, BigQuery, Cloud Functions, and Cloud Storage; design and implement AI/ML solutions using Vertex AI, CCAI, Conversational AI, and Document AI; conduct technical feasibility analysis and proof-of-concepts; monitor solution delivery, perform root cause analysis, and recommend corrective actions; participate in PI Planning, Sprint Planning, system demos, and retrospectives; collaborate with QA teams to validate test strategies; maintain technical documentation including architecture diagrams and design specifications; mentor junior engineers and promote knowledge sharing; research emerging technologies to enhance system capabilities. Position requires Specialization Certification covering GCP Machine Learning and Data Engineering. Position requires 10% travel within the U.S. Option to work remotely from anywhere in the U.S.

Requirements

• Bachelor’s degree, or foreign equivalent, in Computer Science, Computer Engineering, Engineering, Civil Engineering, or a closely related field of study, plus 7 years of experience in the job offered, or as a Machine Learning AI Engineer, Computer Systems Analyst, Solution Lead, or similar experience in the IT software development position.
• 7 years of experience with working in software development, systems engineering, or solution engineering.
• 7 years of experience designing and developing enterprise applications and distributed systems using Google Cloud Platform (GCP).
• 7 years of experience implementing CI/CD pipelines and DevOps practices in the cloud platforms.
• 7 years of experience programming in object-oriented and scripting languages using Python.
• 7 years of experience working with data modeling, data processing, and database technologies.
• 7 years of experience working with AI/ML frameworks, model development, and applied analytics.
• 7 years of experience working with system integration, APIs, and microservices architecture.
• 7 years of experience performing technical design, system analysis, and solution architecture.
• 7 years of experience working with Agile methodologies such as Scrum or SAFe.
• 1 year of experience mentoring junior developers.
• Specialization Certification covering GCP Machine Learning and Data Engineering.
• Willingness to travel 10% of the time within the U.S.

Responsibilities

• Collaborate with stakeholders and cross-functional teams to gather requirements and translate business needs into technical designs.
• Design end-to-end system architectures ensuring alignment with enterprise standards, scalability, performance, and security.
• Lead solution design discussions across Agile Release Trains (ARTs) and coordinate implementation across multiple teams.
• Define and manage non-functional requirements including performance, reliability, and availability.
• Identify dependencies, constraints, and risks across applications and platforms.
• Design and implement CI/CD pipelines.
• Guide teams in coding standards, architecture patterns, and design principles.
• Evaluate and integrate Google Cloud Platform services including Vertex AI, BigQuery, Cloud Functions, and Cloud Storage.
• Design and implement AI/ML solutions using Vertex AI, CCAI, Conversational AI, and Document AI.
• Conduct technical feasibility analysis and proof-of-concepts.
• Monitor solution delivery, perform root cause analysis, and recommend corrective actions.
• Participate in PI Planning, Sprint Planning, system demos, and retrospectives.
• Collaborate with QA teams to validate test strategies.
• Maintain technical documentation including architecture diagrams and design specifications.
• Mentor junior engineers and promote knowledge sharing.
• Research emerging technologies to enhance system capabilities.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior