AI Machine Learning Engineer
About The Position
A large enterprise insurance company is seeking to add an AI/ML Engineer who can bridge modern AI technologies with legacy insurance platforms. This individual will play a critical role in transforming legacy Micro Focus COBOL and underwriting systems into modern, scalable AI-enabled solutions while serving as a technical lead, mentor, and modernization strategist. The ideal candidate combines hands-on AI/ML development experience with a strong understanding of legacy environments, particularly mainframe and Micro Focus COBOL ecosystems. They will support and enhance existing AI-driven document summarization capabilities while helping define the next generation of underwriting and policy administration solutions. They have very recently developed AI/ML workflows. Some of the APIs provide data and this side of AWS plus the prompt engineering side of it. Lambdas, Terraform code, API on data science side invoke the LLM. The LLM process joined with the prompts creates a summary of 2 pages and puts that back into the Java APIs. This person will be mentoring and training on the AI strategy in this area for all of Life Underwriting.
Requirements
- AI/ML Engineer with proven experience in legacy transformations (mainframe, Micro Focus COBOL, Linux)
- Experience working with or integrating AI/ML tools, APIs, or platforms (e.g., OpenAI API, Azure AI, AWS Bedrock, or similar)
- Experience with prompt engineering and fine-tuning techniques
- Solid understanding of legacy software development and deployment practices
- Strong proficiency in Linux, Java, Spring, Python, REST API development
- Solid understanding of modern software development workflows including CI/CD, version control (Git), and code review practices
- Familiarity with IDE ecosystems and developer tooling (e.g., VS Code extensions, CLI tools)
- Strong problem-solving skills and ability to work independently as well as collaboratively
- Experience with Cobol and mainframe legacy applications / familiarity when modernizing platforms
- Java
- aws
- terraform
- artificial intelligence
- machine learning
- large language model
- cobol
Responsibilities
- Machine Learning Engineer with proven experience in legacy transformations (mainframe, Micro Focus COBOL, Linux)
- Experience working with or integrating AI/ML tools, APIs, or platforms (e.g., OpenAI API, Azure AI, AWS Bedrock, or similar)
- Experience with prompt engineering and fine-tuning techniques
- Solid understanding of legacy software development and deployment practices
- Strong proficiency in Linux, Java, Spring, Python, REST API development
- Solid understanding of modern software development workflows including CI/CD, version control (Git), and code review practices
- Familiarity with IDE ecosystems and developer tooling (e.g., VS Code extensions, CLI tools)
- Strong problem-solving skills and ability to work independently as well as collaboratively
- Mentoring and training on the AI strategy in this area for all of Life Underwriting
Benefits
- Medical, dental & vision
- Critical Illness, Accident, and Hospital
- 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
- Life Insurance (Voluntary Life & AD&D for the employee and dependents)
- Short and long-term disability
- Health Spending Account (HSA)
- Transportation benefits
- Employee Assistance Program
- Time Off/Leave (PTO, Vacation or Sick Leave)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
