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Answer Jobs (NOW HIRING)

Overview We are seeking a detail-oriented and proactive Production Scheduler to join our dynamic team in Burbank, CA. In this role, you will play a crucial part in ensuring our production processes ...

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How much do answer jobs pay per hour?

As of May 29, 2026, the average hourly pay for answer in the United States is $17.30, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Answer (professional occupation), and why are they important?

I'm sorry, but 'Answer' is not a recognized real-world professional occupation, so I cannot provide a response for this job title.

How does an Answering Service Representative typically collaborate with team members and other departments?

As an Answering Service Representative, you’ll frequently collaborate with other representatives, supervisors, and sometimes clients to ensure clear communication and consistent service quality. Team members often share updates about call protocols, urgent messages, or changes in client instructions through digital platforms or regular briefings. Close coordination with supervisors and technical support is common when troubleshooting issues or escalating urgent matters, making teamwork and adaptability key aspects of the job.

What are 'Answer' jobs?

'Answer' jobs typically refer to positions where employees are responsible for responding to customer inquiries, providing information, or offering support, often through phone, email, or online chat. These roles are common in customer service, help desks, and technical support centers. Employees in these positions need strong communication skills, problem-solving abilities, and a good understanding of the company’s products or services. The goal is to assist customers efficiently and ensure a positive experience. Training is usually provided to help new hires become familiar with common questions and company protocols.
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Infographic showing various Answer job openings in the United States as of May 2026, with employment types broken down into 43% Full Time, 55% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $35,976 per year, or $17.3 per hour.
AI Engineer-Remote Opportunity

Full-time

Posted 28 days ago


Job description

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 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.

Essential Job Duties/Responsibilities:
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.

Experience:
Required
  • 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.

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

Certifications (Preferred):
  • 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

Physical Requirements:
  • 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.

Compensation:
Compensation offered for this role is 120,000.00-199,200.00 annually and is based on experience and qualifications.
Candidates must possess authorization to work in the United States, as it is not our practice to sponsor individuals for work visas. Answer Financial is an equal opportunity employer.