Westfield Specialty Insurance · 22 hours ago
AI Engineer
Westfield Center, OH, United States
Full-time
Hybrid
Entry, Mid Level
2+ years expWestfield Specialty Insurance is a global leader in property and casualty insurance, and they are seeking an AI Engineer to build AI use cases that impact their core insurance workflows. The role involves collaborating with other engineers and stakeholders to develop, implement, and maintain AI services and features.
Insurance
No H1B
Responsibilities
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
Qualification
Required
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
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)
Company
Westfield Specialty Insurance
Westfield Specialty is a prominent specialty insurance carrier, leveraging the financial strength of Westfield, a leading U.S.-based property and casualty insurance company and the well-established Lloyd’s of London Syndicate 1200.
201-500 employees
Funding
Current Stage
Growth StageLeadership Team
Brad Kass
Chief Operations Officer
Manoj Jain
Chief Information Officer
Company data provided by crunchbase