Answer Financial Inc.
AI

FullStack AI EngineerFully Remote Opportunity

Answer Financial Inc. · Encino, CA, US · $100k - $177k

Actively hiring Posted about 23 hours ago

Role overview

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.**

The Full-Stack AI Engineer (Remote) is responsible for designing, developing, deploying, and maintaining enterprise-grade AI and machine learning (ML) solutions that integrate seamlessly across the company’s technology ecosystem — including Microsoft Copilot Studio, Power Platform, and AWS-based ML environments.

This hybrid role bridges AI/ML development, agentic AI orchestration, and MLOps infrastructure, ensuring that models and intelligent agents are secure, scalable, and business-aligned.

The position advances the company’s use of AI across all internal and external customer experiences by:

  • Building and operationalizing AI models and copilots that augment business workflows.
  • Integrating models into Microsoft Copilot Studio, Power Apps, and Power Automate.
  • Managing the lifecycle of models deployed through AWS SageMaker, Azure ML, or internal APIs.

What you'll work on

A. AI / ML & Agentic AI Engineering

  • 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.

B. MLOps / Platform Engineering

  • 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.

C. Collaboration and Support

  • 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.

What we're looking for

  • Representative of those that must be met by an employee to successfully perform the essential function of the job. Must be able to operate a PC, other relevant office tools/equipment, sit for extended periods, and/or occasionally stand for extended periods, lead training classes and travel. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Remote Ai Ai Engineer Machine Learning Mlops