Senior AI Engineer — Production AI on AWS & MLOps

The Mutual Group; Des Moines (IA); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive base salary

401(K) retirement plan with company 6%

Life and AD&D insurance

Medical, dental and vision plans

Wellness incentives

Generous time off

Hybrid/remote options

Educational assistance

Job summary

The Mutual Group in Des Moines, IA is modernizing its data and analytics stack by embedding AI across core insurance platforms. We are seeking a Sr AI Engineer to build and scale production‑grade AI solutions on AWS, focusing on delivering real systems in a regulated enterprise environment.

You will design end‑to‑end AI/ML pipelines, deploy models with MLOps practices, and partner with policy, claims, and billing teams to operationalize AI capabilities while upholding governance and security

Qualifications

• 5+ years in software, data engineering, 3 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).

Responsibilities

• 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 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

Data engineering

Software development

AWS

MLOps

Tools

Pinecone

Weaviate

Docker

Kubernetes

AWS Bedrock

Job description

The Mutual Group in Des Moines, IA is modernizing its data and analytics stack by embedding AI across core insurance platforms. We are seeking a Sr AI Engineer to build and scale production‑grade AI solutions on AWS, focusing on delivering real systems in a regulated enterprise environment.

You will design end‑to‑end AI/ML pipelines, deploy models with MLOps practices, and partner with policy, claims, and billing teams to operationalize AI capabilities while upholding governance and security