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The Mutual Group

engineering opportunity

Lead AI Engineer - AWS Platform

The Lead AI Engineer will design and implement end-to-end AI/ML solutions, including LLM-based applications and RAG pipelines, within a regulated enterprise environment. This role involves operationalizing models through MLOps practices and building scalable data ingestion and transformation pipelines on AWS.

Boston, Massachusetts, United StateshybridFULL_TIME

Posted

About the role

What will you do at The Mutual Group?

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

Which skills does this role require?

AWSGenerative AIMachine LearningRAG pipelinesLLMsPythonData engineeringMLOpsCI/CDAmazon SageMakerDistributed systemsCloud architectureData governanceAPI developmentSoftware engineeringRAGLLMSageMakerData EngineeringCloud ComputingBedrockData GovernanceAPIDistributed SystemsNLPAWS LambdaGlueEKSS3PIIComplianceSoftware EngineeringMultimodal ContentEnterprise Systems

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