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
- Architect and build agentic AI systems capable of autonomous reasoning, planning, and execution.
- Develop multi-agent and hybrid agent architectures for complex problem-solving.
- Implement and orchestrate agents using frameworks like LangChain, LangGraph, CrewAI, AutoGen, or LlamaIndex.
- Integrate LLMs (e.g., OpenAI GPT, Claude, PaLM) for agent cognition and decision-making.
- Design and build RAG (Retrieval-Augmented Generation) pipelines using vector databases (Pinecone, ChromaDB, etc.).
- Construct multi-modal AI systems combining text, vision, audio, and external tools.
- Develop robust agent communication and collaboration protocols for coordinated autonomy.
- Implement human-in-the-loop controls and safety guardrails for agent actions.
- Lead technical teams and mentor engineers in advanced agentic AI practices.
- Translate business requirements into autonomous agent solutions and workflows.
- Establish MLOps pipelines, CI/CD, and observability for scalable agent deployment and monitoring.
- Deploy cloud-native and distributed architectures for high-availability agentic AI systems.
- Drive the adoption of emerging agentic AI tools, and foster a culture of R&D, innovation, and continuous learning.
Requirements
- 4 to 10 years of experience in software development
- Expertise in Generative AI technologies (Open AI GPT, Claude, PaLM)
- Proficiency with Python and Java (preferred)
- Strong experience in AI system architecture and deployment
- Familiarity with Agile methodologies
Benefits
- Health insurance
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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