2

Remote Amazon Work Jobs in Ragley, LA (NOW HIRING)

Lead AI Engineer - AWS Platform

Iowa, LA · On-site +1

$130K - $190K/yr

Amazon SageMaker, AWS Lambda, S3, Glue, EKS, and related services * Contribute to evolving use of ... Flexible work schedules and hybrid/remote options for eligible positions * Educational assistance ...

Remote Amazon Work information

See Ragley, LA salary details

$17.9K

$121.5K

$156.4K

How much do remote amazon work jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote amazon work in Ragley, LA is $121,534.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $135,700.00 per year, depending on experience, location, and employer.

What does a typical day look like for someone working remote Amazon work?

A typical day in a remote Amazon role often involves scheduled log-in times, responding to customer inquiries or processing orders through online platforms, and managing tasks using Amazon's proprietary tools. Communication with supervisors and team members typically happens via chat, email, or virtual meetings. You may also be required to track your performance metrics and participate in ongoing training sessions. While the role is primarily independent, regular interaction and collaboration with your team are essential to ensure seamless operations and excellent customer service.

What are the key skills and qualifications needed to thrive in remote Amazon work, and why are they important?

To excel in Remote Amazon Work, candidates typically need strong organizational abilities, communication skills, and proficiency with computers, often supported by a high school diploma or equivalent. Familiarity with Amazon's platforms, customer service software, and basic productivity tools such as Microsoft Office or Google Workspace is highly beneficial. Outstanding time management, self-motivation, and problem-solving abilities set top performers apart in this role. These competencies enable remote employees to efficiently address customer or operational needs, collaborate virtually, and uphold Amazon’s service standards.

What is remote Amazon work?

A Remote Amazon Work job allows employees or independent contractors to work for Amazon from home or another remote location. These roles can include customer service, data entry, virtual assistance, software development, and more. Requirements vary based on the position, but most roles require a reliable internet connection and strong communication skills. Remote Amazon jobs offer flexibility and the opportunity to work for a global company without commuting to an office.

What job categories do people searching Remote Amazon Work jobs in Ragley, LA look for? The top searched job categories for Remote Amazon Work jobs in Ragley, LA are:
What cities near Ragley, LA are hiring for Remote Amazon Work jobs? Cities near Ragley, LA with the most Remote Amazon Work job openings:
Infographic showing various Remote Amazon Work job openings in Ragley, LA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $121,534 per year, or $58.4 per hour.

Lead AI Engineer - AWS Platform

The Mutual Group

Iowa, LA • On-site, Remote

$130K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

Department:

Information Technology

Job Description:

We are modernizing our data and analytics ecosystem by embedding AI and Generative AI across core insurance platforms (Policy, Claims, Billing, and Enterprise systems).

We are hiring a Lead AI Engineer to build and scale production-grade AI solutions on AWS. This role is hands-on and focused on delivering real systems, while helping shape the foundation of our emerging AI platform.

This is not a pure research or modeling role. It is an engineering role focused on building, deploying, and operating AI systems in a regulated enterprise environment.

Work Arrangement:

  • Employees who live within 30 miles of the TMG home office are expected to follow a hybrid or in-office schedule. The initial training period may require additional inoffice days.

Accountabilities:

Build AI Systems (Core Responsibility)

  • Design and implement end-to-end AI/ML solutions including LLM-based applications

  • Build RAG pipelines using vector databases and enterprise data sources

  • Build machine learning models that automate their training, validation, monitoring, and retraining

  • Develop APIs and services to operationalize AI capabilities across the organization

Develop Data + AI Pipelines

  • Build ingestion for multimodal content and transformation pipelines for structured and unstructured data

  • Integrate AI workflows with enterprise systems (policy, claims, billing, etc.)

  • Ensure data quality, traceability, reliability, and governance in all AI pipelines

Operationalize Models (MLOps)

  • Implement CI/CD for AI/ML workflows

  • Deploy, monitor, and maintain models in production

  • Manage model versioning, performance monitoring, and retraining processes

Build on AWS

  • Develop solutions using: Amazon SageMaker, AWS Lambda, S3, Glue, EKS, and related services

  • Contribute to evolving use of AWS Bedrock

Apply Responsible AI Practices

  • Implement guardrails for LLM-based systems (grounding, validation, safety)

  • Ensure secure handling of sensitive data (PII, financial, etc.)

  • Build systems aligned with enterprise governance and compliance standards

Lead by Doing

  • Provide technical guidance and mentorship to engineers

  • Contribute to engineering standards and reusable patterns

  • Partner with architects and business teams to deliver high-impact use cases

Qualifications:

Required

  • 10+ years in software, data engineering, 5 years AI/ML engineering

  • Hands-on experience building production AI/ML systems

  • Experience with RAG pipelines, LLMs, or NLP-based systems

  • Experience with AWS Bedrock or similar GenAI platforms

  • Experience with data pipelines and distributed systems

  • Experience deploying and operating systems in AWS

  • Working knowledge of MLOps practices (CI/CD, monitoring, versioning)

Preferred

  • Experience with vector databases (Pinecone, Weaviate, etc.)

  • Experience in regulated industries (insurance, finance, healthcare)

  • Exposure to microservices and containerized environments (Docker, Kubernetes)

Pay Range:

Anticipated Hiring Range:

  • $130,000 - $190,000 annual base salary depending on experience, qualifications, and geographic location

Benefits:

We are proud to offer our full-time regular employees a robust benefits suite that includes:

  • Competitive base salary plus incentive plans for eligible team members

  • 401(K) retirement plan that includes a company match of up to 6% of your eligible salary

  • Free basic life and AD&D, long-term disability and short-term disability insurance

  • Medical, dental and vision plans to meet your unique healthcare needs

  • Wellness incentives

  • Generous time off program that includes personal, holiday and volunteer paid time off

  • Flexible work schedules and hybrid/remote options for eligible positions

  • Educational assistance

Equal Opportunity Employer

The Mutual Groupis an Equal Opportunity Employer. It is our policy to recruit, hire, train and promote individuals in all job classifications without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or any other characteristic protected by law.

  • Know Your Rights: Workplace Discrimination is Illegal

  • Your Rights Under USERRA

Applicants requiring a reasonable accommodation due to a disability at any stage of the employment application process should contactTalent@themutualgroup.com.

Employment Verification

The Mutual Group participates in theE-Verifyprogram and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You are protected fromemployment discriminationbased on your citizenship status and national origin.

E-Verify Program Overview

E-Verify Participation Poster

All offers of employment are contingent upon the successful completion of a background check.

#TMG