AI Engineer

Ohio Farmers Insurance Company; Westfield Center (OH); Hybrid; USD 100,000 - 120,000; Full time

Job summary

A leading insurance provider seeks an AI Engineer in Westfield Center, Ohio, to develop AI use cases that enhance insurance workflows. You will collaborate with software developers and stakeholders in building complex AI services and ensuring code quality. Applicants should have at least 2 years of engineering experience, a strong background in Python, and familiarity with container orchestration. This role offers a hybrid work environment requiring three or more office days weekly.

Qualifications

• At least 2 years of software engineering experience with a production GenAI use case.
• Hands-on with AI orchestration frameworks like LangChain or similar.
• Solid understanding of containerization and CI/CD practices.

Responsibilities

• Build containerized AI services in Python.
• Design retrieval & agent flows using industry-standard frameworks.
• Integrate with enterprise monitoring/logging platforms.

Skills

Python

Microservices

Docker

Kubernetes

AI orchestration frameworks

Observability tools

Tools

FastAPI

pytest

SonarQube

Snyk

Job description

Westfield is hiring an AI Engineer to build AI use cases of different shapes and sizes that impact our core insurance workflows. You'll work with other AI Engineers, software developers, and business stakeholders to ship features and assets that range in complexity from simple prompt workflows and document understanding to AI agents, RAG, computer use, and more. You'll be involved in business use cases from design and architecture into implementation, testing, deployment, monitoring, and maintenance.

Applicants must be currently authorized to work in the United States on a full‑time basis without employer sponsorship.

What You'll Do

• Build containerized AI services in Python. Implement clean APIs where needed and standards‑based integrations for enterprise systems.
• Design retrieval & agent flows using industry‑standard frameworks; implement prompt/tool versioning and safe rollouts (e.g., feature flags, canary).
• Guardrails & governance: help implement controls around PII handling, audit logging, RBAC, prompt‑injection defenses, and egress controls.
• Evaluation automation: create eval harnesses, golden sets, regression gates, and basic business KPIs (e.g., quality, safety, latency, cost).
• Observability: instrument tracing/metrics/logging with standard tooling, integrate with enterprise monitoring/logging platforms, and build actionable dashboards/alerts.
• Operational rigor: contribute to runbooks and incident hygiene. Participate in the on‑call rotation for the AI services you help own.
• CI/CD: use pipeline‑as‑code for delivery and keep code‑quality/security gates clean for frequent deployments.
• Team play: embed with asset teams when appropriate. Contribute back reusable components, SDKs, and docs to the AI engineering platform.

Job Qualifications

• At least 2 years of software engineering experience, including at least 1 production‑deployed GenAI use case for real business users or consumers.
• Strong Python and microservice fundamentals (e.g., FastAPI or similar, type hints, tests such as pytest) with an emphasis on well‑structured, readable code.
• Hands‑on experience with any AI orchestration frameworks (e.g., LangChain, LangGraph, OpenAI Agents SDK, PydanticAI or similar).
• Containers/orchestration experience: solid containerization understanding and hands‑on with deploy/scale/config/secret management (e.g., Docker, Kubernetes/OpenShift).
• Observability experience: metrics, logs, tracing (e.g., OTel) and using these signals to debug production outages and performance issues.
• CI/CD discipline (e.g., Azure DevOps YAML or similar), code‑quality/security gates (e.g., SonarQube, Snyk), and dependency management basics.
• Governance understanding: audit logs, RBAC, data‑privacy boundaries, and change control in business‑critical environments.

Job Qualifications (Preferred)

• Experience deploying and supporting multiple custom GenAI use cases in production.
• Familiarity with MCP, A2A, or other AI integration standards.
• Experience with RAG and vector search.

Experience with Python dependency/build management (e.g., uv) and familiarity with ASGI servers (e.g., uvicorn).

Location

Hybrid defined as three (3) or more days per week in the office.

• Nimble learning

This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Founded in 1848, Westfield is a global leader in property and casualty insurance, delivering superior risk insights and innovative solutions to customers through a diverse portfolio of insurance products. Westfield underwrites commercial, personal, surety, and specialty lines of coverage through a network of leading independent agents and brokers in the United States and specialty products through Lloyd's of London Syndicate 1200. As a mutual insurance company with more than 3,000 employees, Westfield has revenues in excess of $4 billion and more than $10 billion in assets.