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
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