Lead AI Engineer - AWS Platform

Posted Yesterday
6 Locations
In-Office or Remote
130K-190K Annually
Expert/Leader
Insurance
The Role
Build and scale production-grade AI and generative AI systems on AWS, including LLM applications, RAG pipelines, machine learning models, data pipelines, APIs, and MLOps workflows. Deploy, monitor, version, and retrain models while implementing responsible AI guardrails, governance, security, and compliance. Provide technical mentorship and collaborate with architects and business teams across insurance platforms.
Summary Generated by Built In

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:

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 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:

Required

  • 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:

We are proud to offer our full-time regular employees a robust benefits suite that includes:

  • 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

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 [email protected].

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

Skills Required

  • 10+ years of experience in software or data engineering
  • 5 years of AI/ML engineering experience
  • Hands-on experience building production AI/ML systems
  • Experience with RAG pipelines, LLMs, or NLP-based systems
  • Experience with AWS Bedrock or similar generative AI platforms
  • Experience with data pipelines and distributed systems
  • Experience deploying and operating systems in AWS
  • Working knowledge of MLOps practices, including CI/CD, monitoring, and versioning
  • Experience with vector databases such as Pinecone or Weaviate
  • Experience in regulated industries such as insurance, finance, or healthcare
  • Exposure to microservices and containerized environments, including Docker and Kubernetes
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The Company
400 Employees
Year Founded: 2024

What We Do

The Mutual Group is an insurance services platform and strategic partner for independent mutual insurance carriers. It provides permanent capital, shared infrastructure, technology, and specialized expertise across underwriting, claims, corporate services, and technology. Through a membership-based model, the company helps mutuals improve operational efficiency, scale, strengthen competitiveness, and innovate while preserving their independence, identity, brands, balance sheets, and policyholder ownership.

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