IT AI Solution Architect

Ethos Risk Services • Irving, TX

4d • Remote

About The Position

Our synergetic Ethos IT Team is growing and seeking a full-time AI Solution Architect (REMOTE) to design, implement, and scale enterprise-level artificial intelligence solutions within the insurance claims space. This role will focus on building cloud-based AI systems on AWS, driving innovation across claims automation, fraud detection, and operational efficiency, while ensuring strict compliance with data privacy regulations. Our ideal candidate is a hands-on AI professional who thrives in agile environments and collaborates effectively across teams to deliver secure, scalable, and explainable solutions that drive performance, accuracy, and customer trust.

Requirements

• Minimum of 10+ years of experience in AI system design, cloud architecture, or enterprise software engineering (required).
• Strong hands-on experience with AWS AI/ML services, including Amazon Bedrock, SageMaker, Lambda, and API Gateway (required).
• Strong experience deploying AI/ML models into production environments (required).
• Extensive hands on experience developing using Agentic AI IDEs such as Kiro and/or Claude Code (required).
• Experience working with sensitive data environments (e.g., HIPAA and PCI DSS).
• Proficiency in Python and ML frameworks such as TensorFlow or PyTorch.
• Experience with MLOps, CI/CD pipelines, and infrastructure-as-code (Terraform or CloudFormation).
• Strong understanding of data pipelines, model deployment, and performance monitoring.
• Ability to translate business requirements into scalable AI system designs.
• Excellent communication, stakeholder management, and problem-solving skills.

Nice To Haves

• Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field (preferred). Relevant experience may be a substitute for formal education.
• Experience in insurance, claims, or investigative services (preferred).
• AWS Certified Database Specialty or AWS Solutions Architect (preferred).

Responsibilities

• Design and implement scalable AI and machine learning solutions using AWS (including Amazon Bedrock) to support claims processing, automation, and fraud detection.
• Ensure all AI systems adhere to regulatory standards (HIPAA, PCI DSS), with proper handling of PII and PHI.
• Partner with data scientists, engineers, and business stakeholders in an agile (Scrum) environment to deliver sprint objectives and production-ready solutions.
• Build and maintain data pipelines, deployment frameworks, and monitoring systems to support continuous model improvement.
• Convert business needs and compliance requirements into effective, scalable AI system designs.
• Provide guidance on responsible AI practices, model governance, and data lifecycle management.
• Collaborate with enterprise architects to ensure alignment with existing data architecture, cloud infrastructure, and security frameworks.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 101-250 employees