Application SME III - AI & Automation

Farmers Insurance Careers

14d•Hybrid

About The Position

We are looking for a senior-level Application Subject Matter Expert (SME) who blends strong application design expertise with practical AI fluency, scripting capability, and executive-level communication skills. This role partners closely with business leaders, product teams, and technology partners to evaluate, design, and deliver AI-enabled and data-driven solutions that create real business impact. You will serve as a trusted technical advisor—translating complex technology concepts into clear recommendations, leading proofs of concept, and helping scale intelligent automation and AI capabilities across the organization.

Requirements

5+ years of experience in application development, system analysis, technical design, or a related role.
Strong understanding of enterprise applications, integrations, and modern application architectures.
Demonstrated experience evaluating or implementing AI-enabled or advanced analytics solutions.
Practical experience with scripting or light programming (e.g., Python, SQL, JavaScript, or similar).
Proven ability to communicate effectively with senior leaders and executive audiences.
Excellent written and verbal communication skills.
High school diploma or equivalent required.
Bachelor’s degree preferred or equivalent, relevant experience.

Nice To Haves

Experience leading or contributing to technology proofs of concept or vendor evaluations.
Familiarity with generative AI concepts (e.g., LLMs, prompt engineering, RAG patterns).
Exposure to cloud platforms and API-first architectures.
Experience mentoring or leading other technical professionals.

Responsibilities

Provide subject matter expertise in the conceptual design and evolution of business applications, ensuring alignment with business objectives and enterprise architecture.
Review and validate technical designs produced by vendors or internal teams to ensure quality, scalability, and alignment with requirements.
Perform end-to-end impact analysis for application changes across systems, integrations, and data flows.
Research emerging AI, machine learning, and generative AI capabilities and assess their applicability to business problems.
Lead or contribute to AI proofs of concept, including use case definition, success criteria, and outcome measurement.
Design and evaluate AI-enabled solution patterns (e.g., model APIs, retrieval-augmented generation, automation workflows).
Partner with Architecture, Data, Security, and Procurement teams to evaluate AI vendors and platforms.
Ensure AI solutions adhere to security, privacy, compliance, and responsible AI principles.
Use scripting or light programming to prototype solutions, automate workflows, test integrations, and validate data or APIs.
Work comfortably with APIs, data formats (e.g., JSON), and cloud-based platforms to support modern application and AI use cases.
Review and influence code and technical implementations, even when not acting as the primary developer.
Communicate complex technical and AI-related topics in a clear, concise, and decision-oriented manner to senior leaders and executives.
Develop executive-ready materials such as one-page summaries, presentations, and business cases.
Advise leaders on tradeoffs, risks, costs, and expected outcomes to support informed decision-making.
Act as a bridge between business and technology teams, influencing outcomes without direct authority.
Mentor team members and partners on application design, AI concepts, and modern solution patterns.
Support implementation activities, troubleshooting, and adoption as needed.