Lead AI Engineer AWS Platform
Dallas, TX - USA
Job Summary
Department:
Information TechnologyJob 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 inoffice 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:
$130000 - $190000 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 Groupis 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.
Applicants requiring a reasonable accommodation due to a disability at any stage of the employment application process should contact.
Employment Verification
The Mutual Group participates in theE-Verifyprogram 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 fromemployment discriminationbased on your citizenship status and national origin.
All offers of employment are contingent upon the successful completion of a background check.
#TMG
Required Experience:
IC