Solution Engineer

Solution Engineer

36266

We are Farmers – where ambition meets opportunity.

At Farmers, we’re not just known for unforgettable jingle – we’re a team with a passion for purpose and making a real difference in people’s lives. We deliver peace of mind when it matters most. Our results-driven, high-performance culture thrives on creativity, accountability and bold solutions. Here, growth isn’t just a goal – it’s a way of life for both the organization and every individual on our team. We tackle challenges head-on, learn from every experience and measure our impact on the customers who trust us.

Join an award-winning, equal opportunity employer, where you’ll find more than a job – you’ll find a supportive community. Enjoy competitive benefits, take part in meaningful volunteer projects, and help shape the future alongside talented colleagues across all backgrounds. At Farmers, helping others is at the heart of what we do.

Farmers believes in a culture of collaboration, creativity, and innovation, which thrives when we have the ability to work flexibly in a virtual setting as well as the opportunity to be together in person. Our hybrid work environment combines the best of both worlds with at least three (3) days in office and up to two (2) days virtual for employees who live within fifty (50) miles of a Farmers corporate office. Applicants beyond fifty (50) miles may still be considered.

Job Summary

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.

Position requires a 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. Must have 7 years of experience with each of the following: working in software development, systems engineering, or solution engineering; designing and developing enterprise applications and distributed systems using Google Cloud Platform (GCP); implementing CI/CD pipelines and DevOps practices in the cloud platforms; programming in object-oriented and scripting languages using Python; working with data modeling, data processing, and database technologies; working with AI/ML frameworks, model development, and applied analytics; working with system integration, APIs, and microservices architecture; performing technical design, system analysis, and solution architecture; and working with Agile methodologies such as Scrum or SAFe. Must also have 1 year of experience mentoring junior developers. Must have Specialization Certification covering GCP Machine Learning and Data Engineering. Must be willing to travel 10% of the time within the U.S. Option to work remotely from anywhere in the U.S.

• Farmers offers a competitive salary commensurate with experience, qualifications and location.
  • Annual rate of pay: $189,051
• Bonus Opportunity (based on Company and Individual Performance)
• 401(k)
• Medical
• Vision
• Health Savings and Flexible Spending Accounts

Job Location(s): US - CA - WdlndHills-6301

Anticipated application deadline: At Farmers, the recruitment process is designed to ensure that we find the best talent to join our team. As part of this process, we typically close open positions within 8 to 21 days after posting. If you are interested in any of our open positions, we encourage you to submit your application promptly.

Farmers will consider for employment all qualified applicants, including those with criminal histories, in accordance with the Los Angeles Fair Chance Initiative for Hiring Ordinance or other applicable law. Pursuant to 18 U.S.C. Section 1033, Farmers is prohibited from employing any individual who has been convicted of any criminal felony involving dishonesty or a breach of trust without prior written consent from the state Department of Insurance.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Farmers is an Equal Opportunity Employer and does not discriminate in any employer/employee relations based on race, color, religion, gender, sexual orientation, gender expression, genetic information, national origin, age, disability, marital status, military and veteran's status, or any other basis protected by applicable discrimination laws.