AI Engineer-Remote Opportunity

About the role

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. We are 100% remote - work from home company.

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.

Requirements

• 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.

Preferred 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.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field.

Skills

• Python
• ML frameworks (Scikit-learn, PyTorch, TensorFlow)
• API integration
• Microsoft Copilot Studio
• Power Platform (Power Apps, Power Automate, Power Virtual Agents)
• AWS SageMaker
• Azure ML
• CI/CD tools (MLflow, Airflow, Docker, Kubernetes)
• Monitoring and analytics
• LLM-based copilots, agent orchestration, and prompt engineering
• Vector databases (Pinecone, FAISS)
• RAG architectures
• Azure OpenAI Service, Dataverse, and Microsoft Graph APIs

Benefits

Compensation offered for this role is $120,000.00-$199,200.00 annually and is based on experience and qualifications.

Pay

$120,000.00-$199,200.00 annually

Schedule

Full-time