AI
American Family InsuranceDistinguished AI Architect
AI Architect developing data and AI architecture solutions for American Family Insurance. Leading integration design and participating in M&A discussions to achieve business outcomes.
About the role
- Join a GenAI pod that designs and ships lightweight micro-apps, copilots, and decision helpers for internal high-impact teams.
- Help move features from prototype → production quickly, improving decisions and workflows with modern LLMs and agentic workflows.
- Shadow pod rituals; set up repos, dev env, and access.
- Learn house patterns for prompts, evals, and secure coding in a regulated context.
- Craft, test, and iterate prompts for models such as GPT-5, Claude 4, and Gemini.
- Log results; identify failure modes (bias, hallucination, latency); propose mitigations and patterns for the wiki.
- Build chatbots, unstructured data analyzers, extractors, agentic workflows—in Python with modern agent orchestration tools.
- Spin up n8n automations with integrations to platforms like Databricks and Confluence.
- Instrument basic telemetry (latency, cost, success rate) and user feedback capture with tools such as MLFlow and Databricks Evals.
- Pair with different departments such as Ops/Product/Risk to translate pain-points into scoped tasks.
- Run short demos to demonstrate developed features; write concise docs/readmes non-engineers can follow.
Requirements
- Final-year student in CS/Engineering/Data Science (or similar) or recent grad.
- Python proficiency; comfort with notebooks and scripting.
- Familiar with one GenAI SDK (OpenAI, Anthropic, Google, Hugging Face, etc.).
- Basic web/API skills (HTTP/REST, JSON, simple React or vanilla JS).
- Git fluency and light data wrangling (Pandas or SQL).
- Evidence of initiative (side projects, coursework, hackathons).
- Clear written and spoken English.
Benefits
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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