The Mutual Group · 7 hours ago
AI Lead Engineer - AWS Platform - On-site or Hybrid Opportunity
Polk County, IA
Full-time
Hybrid
Senior Level, Lead/Staff
$130K/yr - $170K/yr
12+ years expThe Mutual Group is modernizing its enterprise data and analytics ecosystem by embedding AI and Generative AI capabilities. As the AI Lead Engineer – AWS Platform, you will architect and lead the delivery of AI/ML solutions on AWS, while guiding a team to enhance decision-making and automate workflows.
Responsibilities
Lead the design and implementation of a scalable, enterprise-grade AI platform on AWS, integrating LLMs, Generative AI, and traditional ML models
Define architectural standards for LLM orchestration, RAG pipelines, and AI model lifecycle management
Design Medallion-based AI data architecture connecting Policy, Claims, Billing, and Administration systems for unified analytics and AI-driven insights
Partner with enterprise architects to align AI initiatives with cloud modernization, data governance, and security frameworks
Evaluate new AWS services (Amazon Q, Bedrock Agents, Titan, SageMaker HyperPod) for platform scalability and business alignment
Lead development and fine-tuning of LLMs, transformers, and generative models using Amazon SageMaker, Bedrock, or custom frameworks
Architect and oversee end-to-end MLOps pipelines — from training and validation to deployment, monitoring, and retraining — using CodePipeline, SageMaker Model Monitor, and CloudWatch
Implement retrieval-augmented generation (RAG) workflows integrating Vector DBs (Kendra, Pinecone, or Weaviate) for grounded, domain-specific AI responses
Ensure production-grade model serving, scaling, and versioning with SageMaker endpoints, Lambda, and Step Functions orchestration
Architect data ingestion pipelines to process multimodal content (PDFs, images, audio, emails, structured/unstructured data) using AWS Glue, Textract, Transcribe, and Comprehend
Lead the design of AI-driven automation workflows for classification, summarization, and entity extraction across insurance documents
Optimize pipelines for performance, scalability, and cost efficiency through serverless and event-driven architectures
Define and implement CI/CD practices for AI/ML using AWS CodePipeline, CodeBuild, and Terraform/CloudFormation
Standardize infrastructure-as-code and environment provisioning across development, staging, and production
Integrate monitoring, observability, and audit logging into all AI components to ensure reliability and compliance
Drive adoption of containerized model deployments via SageMaker JumpStart, EKS, or Docker-based inference endpoints
Establish Responsible AI frameworks covering model explainability, fairness, safety, and bias detection
Configure Bedrock Guardrails and implement safety layers to prevent hallucinations and enforce ethical responses
Ensure compliance with HIPAA, SOC2, and data privacy laws through secure data handling, encryption, and audit trails
Partner with InfoSec, Legal, and Risk teams to align AI development with enterprise governance policies
Lead a cross-functional team of AI engineers, MLOps specialists, and data scientists, providing technical direction and mentorship
Collaborate closely with business stakeholders, architects, and product teams to identify high-impact AI use cases
Drive AI Center of Excellence (CoE) initiatives—develop best practices, reusable components, and internal knowledge repositories
Promote a culture of experimentation, continuous learning, and responsible AI adoption across the enterprise
Qualification
Required
Bachelor's or Master's degree in Computer Science, AI/ML, Data Engineering, or related field
12+ years of total experience in software/data engineering, with 8+ years in AI/ML development and deployment
Deep hands-on experience with AWS AI/ML stack — SageMaker, Bedrock, Glue, Lambda, Step Functions, Kendra, Textract, Comprehend, and CloudFormation
Expertise in Python, PyTorch, TensorFlow, and Hugging Face model training and integration
Proven experience designing LLM and RAG architectures, integrating Vector Databases (Kendra, Pinecone, Weaviate)
Strong understanding of MLOps frameworks, CI/CD, infrastructure-as-code, and automated model monitoring
Solid background in data architecture, governance, and security in regulated environments (Insurance, Financial Services, Healthcare)
Demonstrated leadership in cross-functional AI programs and mentoring engineering teams
Excellent communication skills and the ability to translate complex AI concepts into actionable business strategies
Preferred
PhD preferred
Benefits
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
The Mutual Group
The Mutual Group is an innovative insurance services platform providing a comprehensive suite of solutions designed to enhance the operational efficiency, scalability and long-term success of mutual insurance carriers.
201-500 employees
H1B Sponsorship
The Mutual Group has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (2)
Funding
Current Stage
Growth StageCompany data provided by crunchbase