Lead AI Engineer - AWS Platform & Production ML

The Mutual Group

Boston (MA)

Hybrid

USD 130,000 - 190,000

Full time

5 hours ago
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Benefits offered by this job

401K retirement plan with company 6%
Medical, dental and vision plans
Generous time off
Educational assistance
Hybrid/remote options

Job summary

The Mutual Group in Boston area is hiring a Lead AI Engineer to build and scale production-grade AI solutions on AWS. This role is hands-on and oriented toward delivering real systems in a regulated insurance environment.

You will drive end-to-end AI/ML pipelines, MLOps, and responsible AI practices, mentoring engineers and partnering with architects to deliver high-impact use cases across policy, claims, and billing systems.

Qualifications

  • 10+ years in software and data engineering
  • 5+ years AI/ML engineering hands-on
  • Experience with RAG pipelines and LLMs
  • Experience with AWS Bedrock or similar GenAI platforms
  • Knowledge of data pipelines and distributed systems
  • MLOps practices including CI/CD and monitoring

Responsibilities

  • Design and implement end-to-end AI/ML solutions including LLM-based apps
  • Build RAG pipelines using vector databases and enterprise data sources
  • Train, validate, monitor, and retrain ML models
  • Develop APIs and services to operationalize AI capabilities
  • Ingest and transform multimodal data; ensure data quality and governance
  • Deploy and monitor models in production with CI/CD
  • Lead engineering teams and influence standards

Skills

10+ years software
data engineering
5 years AI/ML
hands-on AI/ML
RAG pipelines
LLMs / NLP
AWS Bedrock
data pipelines
distributed systems
MLOps CI/CD

Tools

Pinecone
Weaviate
Docker
Kubernetes

Job description

The Mutual Group in Boston area is hiring a Lead AI Engineer to build and scale production-grade AI solutions on AWS. This role is hands-on and oriented toward delivering real systems in a regulated insurance environment.

You will drive end-to-end AI/ML pipelines, MLOps, and responsible AI practices, mentoring engineers and partnering with architects to deliver high-impact use cases across policy, claims, and billing systems.

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