Lead AI Engineer - AWS Platform

The Mutual Group • Boston, MA

1d • $130,000 - $190,000 • Hybrid

About The Position

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.

Requirements

• 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)

Nice To Haves

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

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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed