Note: The job is a remote job and is open to candidates in USA. Answer Financial is an Allstate company with 25+ years in the industry and one of the nation's largest and longest running personal lines insurance agencies. The AI Engineer is responsible for designing, developing, deploying, and maintaining enterprise-grade AI and machine learning solutions that integrate seamlessly across the company’s technology ecosystem.

Responsibilities

• Design, fine-tune, and deploy AI/ML models, including LLMs and retrieval-augmented generation (RAG) pipelines
• Develop and maintain custom Copilots and intelligent agents within Microsoft Copilot Studio that interact with enterprise data and APIs
• Implement Power Platform integrations (Power Apps, Power Automate, Power Virtual Agents) for business-facing AI workflows
• Collaborate with data scientists to transform prototypes into production-grade, secure, and compliant solutions
• Build domain-specific AI skills and agents tailored to insurance and financial processes
• Develop and automate ML pipelines for training, deployment, and monitoring on AWS SageMaker and Azure ML
• Manage CI/CD for AI models and Copilot plugins using MLflow, Airflow, Docker, and Kubernetes
• Implement monitoring for Copilot-based and standalone AI agents, capturing performance, drift, and usage analytics
• Integrate AI governance frameworks ensuring auditability, explainability, and data privacy compliance
• Partner with software engineering and Power Platform teams to embed AI services into core business systems
• Collaborate with IT and Security on Copilot extensions and secure connectors for enterprise data
• Mentor junior AI engineers on cloud AI tools, Copilot integration, and MLOps best practices

Skills

• 2-5 years combined experience in software engineering, ML, and/or MLOps
• Proven success deploying AI/ML models in Microsoft or AWS environments
• Strong proficiency in Python, ML frameworks (Scikit-learn, PyTorch, TensorFlow), and API integration
• Hands-on experience with Microsoft Copilot Studio, Power Automate, and Power Apps development
• Experience deploying AI pipelines in AWS SageMaker or Azure ML
• Familiarity with LLM-based copilots, agent orchestration, and prompt engineering
• Bachelor's or Master's degree in Computer Science, Data Science, or a related technical field
• Experience connecting Copilot agents to proprietary datasets via secure connectors or APIs
• Knowledge of vector databases (Pinecone, FAISS) and RAG architectures
• Familiarity with Azure OpenAI Service, Dataverse, and Microsoft Graph APIs
• Background in financial or insurance domain AI use cases
• Microsoft Certified: Azure AI Engineer Associate (AI-102)
• Microsoft Certified: Power Platform Solution Architect / Developer Associate
• AWS Certified Machine Learning – Specialty
• Microsoft Copilot Studio or AI Builder training credentials

Benefits

• 100% remote - work from home company

Company Overview