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
- Assist in training and fine-tuning generative models (text, image, code) using PyTorch, TensorFlow, or JAX
- Implement RAG (Retrieval-Augmented Generation) pipelines and optimize prompts for specific domains
- Build applications using LangChain, LlamaIndex, Hugging Face Transformers
- Integrate GenAI APIs (OpenAI, Anthropic, Mistral) into enterprise workflows
- Design and test advanced prompting strategies (few-shot, chain-of-thought, ReAct) and create reusable prompt templates
- Develop evaluation metrics for hallucination reduction, output consistency, and safety alignment
- Optimize inference costs using quantization, distillation, or speculative decoding
- Collaborate with cross-functional teams (product, data, UX) to deploy AI solutions and document processes
Requirements
- Education: Bachelor’s or Master’s in Computer Science, Data Science, or related field
- Proficiency in Python and familiarity with PyTorch or TensorFlow
- Basic understanding of NLP and neural architectures (Transformers, GANs)
- Experience with cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML)
- Familiarity with prompt engineering tools (LangChain, DSPy, Guidance, LMQL)
- Experience with deployment tools (FastAPI, Docker, MLflow)
- AI/GenAI exposure: hands-on projects with LLMs or diffusion models; vector databases (Pinecone, Milvus); fine-tuning LLMs (Llama 2, Mistral) using LoRA/QLoRA/RLHF; building RAG pipelines with embedding models (BERT, OpenAI); developing with Stable Diffusion or DALL·E; NLP projects using spaCy or NLTK
- Experience with at least two of the listed GenAI tools/techniques
- Soft skills: strong problem-solving mindset; curiosity about emerging AI trends; ability to explain technical concepts to non-technical stakeholders
- Preferred certifications: Microsoft Certified: Azure AI Engineer Associate; Google Cloud Professional Machine Learning Engineer
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