Lead AI Engineer - AWS Platform

TMG Insurance Services, LLC; Iowa (LA); Hybrid; USD 130,000 - 190,000; Full time

Benefits offered by this job

Competitive base salary

401(K) retirement with match up to 6%

Insurance: life, disability, medical

Wellness incentives

Generous time off

Hybrid/remote options

Job summary

The Mutual Group is seeking a Lead AI Engineer to design, build, and operate production-grade AI solutions on AWS. This hands-on role focuses on delivering real systems and shaping the enterprise AI platform in a regulated environment.

You will mentor engineers, implement MLOps with CI/CD, deploy models to production, and collaborate with architects and business teams to deliver high-impact use cases. The role supports hybrid/remote options for eligible positions within the home-office radius.

Qualifications

• 10+ years in software, data engineering and 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.

Responsibilities

• 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

Skills

AI/ML engineering

Production systems

RAG pipelines

NLP/LLMs

MLOps

AWS knowledge

Tools

SageMaker

AWS Lambda

S3

Glue

EKS

Bedrock

Docker

Kubernetes

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 in‑office days.

Accountabilities:

• 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:

• 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:

• 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

Equal Opportunity Employer The Mutual Group is 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 contact [e-mail]. Employment Verification The Mutual Group participates in the E-Verify program 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 from employment discrimination based 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 The Mutual Group is 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 contact [e-mail]. The Mutual Group participates in the E-Verify program 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 from employment discrimination based on your citizenship status and national origin. All offers of employment are contingent upon the successful completion of a background check.