Note: The job is a remote job and is open to candidates in USA. The Mutual Group is modernizing its data and analytics ecosystem by embedding AI and Generative AI across core insurance and enterprise platforms. The Lead AI Engineer will build, deploy, and operate production-grade AI systems on AWS, including LLM applications, RAG pipelines, machine learning models, data pipelines, and MLOps workflows, while providing technical guidance and supporting responsible AI practices.
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
Skills
- 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)
- Experience with vector databases (Pinecone, Weaviate, etc.)
- Experience in regulated industries (insurance, finance, healthcare)
- Exposure to microservices and containerized environments (Docker, Kubernetes)
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
Company Overview