Production AI Engineer - AWS ML & MLOps

The Mutual Group; Illinois; Hybrid; USD 125,000 - 170,000; Full time

Benefits offered by this job

401K match up to 6%

Life and AD&D insurance

Disability insurance

Medical, dental, vision plans

Wellness incentives

Generous time off

Hybrid/remote options

Educational assistance

Job summary

The Mutual Group is modernizing its data and analytics stack by embedding AI across core platforms. We seek a Sr AI Engineer to build and scale production‑grade AI solutions on AWS, with hands‑on delivery and architectural input for an enterprise setting.

You will design end‑to‑end AI/ML systems, develop data pipelines and MLOps practices, and operationalize models while aligning with governance and compliance standards in insurance tech. Hybrid work is available near our home office.

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

• 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.
• 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.
• Implement CI/CD for AI/ML workflows.
• Deploy, monitor, and maintain models in production.
• Manage model versioning, performance monitoring, and retraining processes.
• Develop solutions using: Amazon SageMaker, AWS Lambda, S3, Glue, EKS, and related services.
• Contribute to evolving use of AWS Bedrock.
• 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.
• 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 AI/ML systems

RAG pipelines

LLMs

AWS

MLOps

Data pipelines

Tools

Amazon SageMaker

Docker

Kubernetes

AWS Bedrock

Pinecone

Weaviate

Job description

The Mutual Group is modernizing its data and analytics stack by embedding AI across core platforms. We seek a Sr AI Engineer to build and scale production‑grade AI solutions on AWS, with hands‑on delivery and architectural input for an enterprise setting.

You will design end‑to‑end AI/ML systems, develop data pipelines and MLOps practices, and operationalize models while aligning with governance and compliance standards in insurance tech. Hybrid work is available near our home office.