Lead AI Engineer - AWS Platform

The Mutual Group; Trevose (PA); Hybrid; USD 130,000 - 190,000; Full time

Benefits offered by this job

401(k) retirement with company match

Life & AD&D insurance

Medical, dental & vision plans

Wellness incentives

Generous paid time off

Hybrid/remote options

Educational assistance

Job summary

The Mutual Group is seeking a Lead AI Engineer to design, implement and operate production AI systems on AWS within its Information Technology department. The role combines hands-on engineering with shaping the foundation of a scalable AI platform for core insurance platforms.

Candidates will develop end-to-end AI/ML solutions, build RAG pipelines, and advance MLOps while aligning with enterprise governance and responsible AI practices.

Qualifications

• 10+ years in software, data engineering, and 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).

Responsibilities

• Design and implement end-to-end AI/ML solutions including LLM-based apps.
• Build RAG pipelines using vector databases and enterprise data sources.
• Develop pipelines for multimodal data and integrate AI into core systems.
• Implement CI/CD, monitoring, and retraining for models in production.
• Lead by example, mentor engineers and set reusable patterns.

Skills

Software engineering

Data engineering

AI/ML engineering

RAG pipelines

LLMs / NLP

AWS Bedrock

Data pipelines

MLOps

Distributed systems

AWS deployment

Tools

Docker

Kubernetes

SageMaker

Job description

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 [e-mail] .

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.