Job Description

ABOUT US:

Ethos Risk Services is a leading insurance claims investigation and medical management company committed to providing better data that translates into better decision-making for our clients. We are at the forefront of innovation in our space, and our success is driven by a dynamic team passionate about delivering exceptional services to our customers.

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.

KEY RESPONSIBILITIES:

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

QUALIFICATIONS:

Education: 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:

• 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 in insurance, claims, or investigative services (preferred).
• Experience working with sensitive data environments (e.g., HIPAA and PCI DSS).

Certifications:

• AWS Certified Database Specialty or AWS Solutions Architect (preferred).

Skills:

• 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.

WORKING CONDITIONS:

This is a primarily remote position working in a home office environment, with a preference for candidates able to work within Eastern or Central Time Zone business hours. The role requires prolonged periods of sitting or standing while operating a computer and other office equipment. Occasional travel may be required, including overnight stays. Frequent communication with team members, clients, and stakeholders is expected.

Ethos Risk Services is an equal opportunity employer that does not discriminate on the basis of religious creed, sex, national origin, race, veteran status, disability, age, marital status, color or sexual orientation or any other characteristic.