Farmers Insurance

Cloud Engineer

• Ensure availability, scalability, reliability and security of cloud platforms and services.
• Design, deploy, and govern AI-powered agents (e.g., using Azure Copilot /AWS Bedrock).
• Supervise and refine AI-generated Infrastructure-as-Code (IaC) (Terraform/Ansible).
• Implementing AI based automation solutions for Cloud Operations.
• Manage security and compliance by utilizing AI agents to detect configuration drift and auto-generate compliant updates for IAM, network, and security policies.
• Collaborate with application, architecture, AIOps, FinOps and security teams to ensure production readiness.
• Lead proof-of-concepts, implement new cloud services and Adapt quickly to new cloud releases and features to enhance operational capabilities.

Cloud Platform Engineer

Customer Support

• Deliver exceptional customer service while proactively seeking solutions
• Communicate with customers via multiple channels (phone, chats, emails)
• Evaluate and interpret policy information within prescribed authority limits
• Document customer interactions and outcomes thoroughly in system
• Recognize opportunities for process improvement and makes recommendations to leadership

Customer Care Representative

Sales

• Supervise a team of Sales Consultants by developing staff performance and skills via strong leadership, coaching, motivation, and recognition
• Monitor multiple systems to qualify risk and ensure risk is placed with proper carrier
• Monitor all aspects of team performance, including but not limited to, sales performance, customer experience, work product quality, efficiency, attendance and compliance with established company and regulatory guidelines
• Identify process and performance deficiencies and recommend a course of action to improve sales and resolve operations problems for our team.
• Implement corrective action as needed
• Investigate and resolve escalated customer issues. Interpret and communicate procedural and regulatory changes to assigned staff. Compile periodic and ad hoc reports and analyses as required

Direct Sales Manager

System Administrator

• Executes on a plan; schedules and administers learning and development system activities in concert with other stakeholders, using company approved tools
• Act as point of contact for system usage and conflict resolution
• Analyzes and evaluates existing systems and procedures; recommending methods of improvement
• Completes quality control audits and implements any corrective action
• Communicates and supports resolution of any system issues; notifies necessary personnel when system fails are identified
• Accountable for accuracy of all learning system data entry activities
• Trains other users as required
• Identifies any continuous improvement opportunities in learning systems
• Executes any continuous improvement plans
• Alert University leadership of any system issues that affect learners and internal staff, providing alternative solutions for remedy
• Participates in weekly team meetings

Learning System Administrator

AI Engineer

• Partner with cross-functional business stakeholders and technical teams to understand complex business problems and contribute to the design and delivery of AI-enabled solutions aligned with enterprise strategy and product roadmaps
• Design, develop, and refine technical solutions using AI technologies, ensuring solutions are scalable, performant, secure, and aligned with enterprise architecture and data standards
• Contribute to multiple initiatives by prioritizing solution engineering tasks, managing non-functional requirements, and supporting delivery timelines through disciplined execution and problem solving
• Apply a systems-level understanding of the development lifecycle to support effective delivery within Agile teams, identifying and helping resolve technical constraints across design, build, and deployment phases
• Collaborate with platform, data, and DevOps teams to integrate AI solutions into existing environments, supporting automation, observability, and reliable deployment practices
• Participate in experimentation and pilot efforts to evaluate emerging AI technologies and approaches, applying learnings to improve solution quality, reusability, and time to value
• Maintain clear technical documentation and share knowledge, patterns, and best practices to strengthen AI and solution engineering capabilities across teams
• Engage in continuous learning to stay current on AI tools, techniques, and responsible AI practices, and apply new knowledge to improve individual and team outcomes

Senior AI Engineer

Solutions Engineer

• Partners with cross-functional business stakeholders and technical teams to understand and address complex to highly complex initiatives within a business unit or at the enterprise level
• Leads discussions to gather requirements, develop solutions, validate technology assumptions, and evaluate implementation alternatives
• Influences solution strategies by leveraging deep business knowledge and depth of expertise in solution engineering
• Leads multiple technical projects simultaneously by prioritizing and coordinating solution engineering efforts across teams and initiatives
• Establishes performance metrics to measure effectiveness and continuously optimize performance
• Manages non-functional requirements and ensures compliance with industry standards throughout the solution development and delivery process
• Supervises, guides, coaches, and manages the performance of direct reports who are people leaders or individual contributors
• Delivers regular feedback and supports professional development
• Fosters a high-performance culture where excellence is standard and innovation is actively encouraged
• Partner closely with technology, data, business, and governance leaders to ensure AI solutions are architected, delivered, and adopted with rigor, speed, trust, and align with product roadmaps and overarching business strategies
• Monitors progress, resolves issues affecting delivery timelines, and leads technical problem-solving efforts during development and deployment phases
• Partners with business stakeholders and technical teams to address challenges and optimize solutions
• Demonstrated learning agility with a disciplined approach to staying current on emerging AI technologies and approaches, rapidly synthesizing new insights, and translating continuous learning into practical guidance, decisions, and organizational capability
• Drive innovation by identifying emerging AI capabilities, external trends, and new operating approaches, and translating them into actionable pilots and scalable programs

Director, Solution Engineering

Product Analyst

• Creates and manages personal lines insurance programs
• Assists in the coordination of all phases of new product introduction and product maintenance
• Maintains contact with State Offices and Personal Lines Marketing to benefit product development activities
• Analyzes, researches and creates new personal lines insurance products which are likely to be implemented territory-wide
• Coordinates development and implementation of new personal lines insurance products with other functional departments; chairs coordinating meetings where assigned
• Initiates preparation and publication of procedure bulletins, field bulletins and marketing kits regarding the introduction of new products
• Follows up regularly with other functional departments, Agents/District Managers, State Offices and Service Centers to verify that new products have been implemented correctly
• Performs other duties as assigned

Product Analyst, Senior

DevOps Engineer

• Automate the provisioning of all middleware platforms.
• Install, Manage and support OpenShift Container platform.
• Automate High Availability and Disaster Recovery for all production platforms.
• Work as a liaison between DBA, Network, Security and Cloud Engineering Teams.
• Quickly adapt new automation technologies and implement the same.
• Instrument APM Monitoring tools.
• Participate in 24/7 on-call rotation and escalate issues as needed.
• Perform other job related duties as assigned.

Senior Site Reliability Engineer

Data Engineer

• Responsible for acquiring, curating, and publishing data both on prem and in the cloud for analytical or operational uses for basic to moderate scenarios.
• Ensures the data is in a ready-to-use form that creates a single version of the truth across all data consumers, including business/technology users, reporting and visualization specialists and data scientists with coaching and support.
• Utilizes skills to translate business analytic requests/requirements into design, development, testing, deployment, and production maintenance tasks.
• Consults on data projects of intermediate complexity, with limited coaching and guidance, to understand design requirement and existing business processes to lead in the design, development, and implementation of data products.
• Practices code management and integration with current architectural and data governance guidelines with reduced oversight required of leadership.
• Produces data building blocks, data models, and data flows for varying client requests such as dimensional data, standard and ad hoc reporting, data feeds, dashboard reporting, and data science research and exploration with limited assistance and coaching.
• Creates business user access methods to structured and unstructured data.
• Utilizes techniques such as mapping data to a common data model, natural language processing, transforming data as necessary to satisfy business rules, AI, statistical computations, and validation of data content.
• Translates business data stories into a technical story breakdown structure and work estimates for a schedule or planned agile sprint.
• Develops and maintains moderately complex scalable data pipelines for both streaming and batch requirements and builds out new API integrations to support increased demands of data volume and complexity.
• Preps/cleanses data to optimize for downstream reporting via Farmers standard visualization or AI/ML tools with coaching and feedback.
• Applies sound knowledge of data governance concepts with limited experience in application.
• Executes on mid size projects and large tasks within timelines.
• Develops data project plans and executes with some supervision.

Data Engineer, Experienced

Learning and Development

• Acts as a consultative partner with human resources and business leaders, conducts learning need analysis and assessments to understand needs, and provides recommendations to enhance employee, leadership, or team effectiveness and drive improved performance or business results.
• Scopes business requirements and constraints and establishes clear measurements of success.
• Leads the effective implementation or ongoing design and delivery of learning and development solutions.
• Evaluates the quality and effectiveness of learning and development solutions by measuring against established success metrics, effort, and impact.
• Makes recommendations on how to scale or improve solutions based on data insights gained from feedback and program performance.
• Promotes collaboration and strategic partnerships across value streams that may contribute to or would be impacted by proposed solutions.
• Rapidly prototypes, refines, and deploys at scale.
• Designs, develops and recommends cutting edge learning and development solutions that address business needs efficiently and align to strategic priorities.

Enterprise Learning and Development Partner

Product Manager

• Takes a fully independent lead in several areas of product development including advanced analytics, data science, and AI-enabled solutions by following the principles of Agile to manage the team backlog, anticipate and prioritize needs, oversee development stages, act as a primary liaison and evaluate product progress.
• Serves as the customer proxy for analytics and AI products; works collaboratively with business owners and other stakeholders to accomplish these tasks with little to no support with a high volume of work and increased complexity.
• Utilizes strong understanding of the business vision to regularly contribute and manage execution.
• Heavily influences the business owner's requirements, the analytics and AI Product Manager's program vision and roadmap while introducing new and useful tools and practices to drive continuous improvement.
• Applies basic scientific practice within iterations in order to routinely plan, do, check and adjust.
• Manages team backlog items and prioritizes analytics use cases, AI, Generative AI and ML models, experiments, data enablement, and technical enablers based on business value.
• Outlines dependencies and informs stakeholders of the necessary sequence of development to ensure optimized performance and outcomes.
• Holds a significant role in quality control and is the primary team member empowered to accept stories as done.
• Utilizes advanced business knowledge, based on prior experience within business function, and communication skills to anticipate problems and address them accordingly, ensuring analytics and AI solutions achieve measurable business outcomes and are successfully adopted.
• Works cross-functionally in a self-organizing manner to accomplish tasks and effectively manage the backlog while partnering closely with Data Science, Analytics Engineering, Architecture, and Platform teams.
• Leads processes and procedure changes identified by teams by working with external business partners.
• Effectively applies critical thinking to identify flexibility in determining how and when each iteration and product element will be developed.
• Acts as primary communicator and connection between stakeholders, end users and teams determining if each story meets their shared expectations.
• Ensures collaboration from all stakeholders on decisions and strategy providing clear instructions and deliverables for developers.
• Takes ownership of each stage of the process and final product including validation of delivered insights, models, or AI capabilities against intended business goals to ensure the goal and vision are correctly aligned with the work items on the backlog.
• Contributes strategic input into the prioritization of the program backlog, coordinates dependencies and manages the inspection and evaluation of product progress through each iteration.
• Drives the mitigation of program risks.
• Leads collaboration with Model Risk Management, Compliance, Legal, and Governance partners as needed to ensure responsible and compliant use of data and AI.
• A key member of the Advanced Analytics team who utilizes perspective to define iteration goals and drives execution and delivery.
• Partners with the business owner to understand needs, manage scope and add/eliminate user stories while contributing heavy influence to build an effective strategy.
• Communicates requirements to Advanced Analytics Team in a clear and collaborative manner to determine new requirements, negotiate teams and dependencies.
• Regularly interacts closely with the Manager in order to discuss goals and vision of the business/value stream, sharing extensive knowledge in order to make sound decisions.
• Heavily involved in the Program Increment (PI) planning, story definition for analytics, AI, and data-centric initiatives and assists team with story estimates and sequencing.
• Oversees the development of the product to include planning, refinement, review, and execution.
• Partners with stakeholders to identify and organize steps required for next iteration.
• Works to gain clarity on queries and participate in the demo of committed items.
• Participates in ceremonies within the team to coordinate efforts with team to refine the process, identify areas for improvement and support the execution of tasks.
• Continuously keeps the end-user needs in mind based on higher level of business acumen to ensure the solution meets expectations and the development delivers expected outcomes from the accepted stories.
• Independently represents business owners' interest and prioritize user stories based on business value while maximizing agile team's capacity.
• Provides mentorship and guidance to PO I and II.
• Performs other duties as assigned.

Product Owner III – Advanced Analytics, AI

• Responsible for managing and enhancing personal lines product performance in assigned region by leveraging insights across a variety of internal and external sources, conducting root cause analysis and collaborating with cross-functional teams.
• Analyzes internal and external data to fully understand profit, production, competitive position and market trends to develop strategies to drive profitable growth.
• Responsible for profits/losses in assigned product/territory.
• Develops long- and short-term plans for their assigned product/territory with State Executives.
• Takes leadership role in special projects as assigned by State Manager.
• Work with underwriting team to adjust appetite to improve performance, profitability, and agent experience.