Senior AI Engineer — Production AI on 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

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.