Lead AI Engineer - AWS Platform

Overview

Department:
Information Technology

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.

• Build AI Systems: 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 Sage Maker, 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

• 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)

• Experience with vector databases (Pinecone, Weaviate, etc.)
• Experience in regulated industries (insurance, finance, healthcare)
• Exposure to microservices and containerized environments (Docker, Kubernetes)

Anticipated hiring range: $130,000–$190,000 annual base salary depending on experience, qualifications, and geographic location.

• Competitive base salary plus incentive plans for eligible team members
• 401(k) retirement plan with 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
• 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

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.

All offers of employment are contingent upon the successful completion of a background check.