Lead AI Engineer - AWS Platform

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

• 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

• Develop on AWS

  • Develop solutions using: Amazon SageMaker, AWS Lambda, S3, Glue, EKS, and related services
  • 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

• 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

• 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.

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Your Rights Under USERRA

Applicants requiring a reasonable accommodation due to a disability at any stage of the employment application process should contact Talent@themutualgroup.com.

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

Background Check

All offers of employment are contingent upon the successful completion of a background check.