AI Engineer

Overview

Join our innovative team as an AI Engineer and be at the forefront of developing cutting-edge artificial intelligence solutions that transform data into actionable insights. In this role, you will leverage your expertise in machine learning, statistical analysis, and big data systems to design, implement, and optimize AI models that drive strategic decision-making.

If you thrive in a fast-paced environment where creativity meets technical excellence, this is your opportunity to make a significant impact.

Position Summary

The AI Engineer turns artificial intelligence concepts into production-ready systems. They combine soft-ware engineering, machine learning, data engineering, and product knowledge to build dependable AI applications. The AI Engineer reports to the Head of Information Technology & Data.

Purpose

The AI Engineer designs, builds, tests, and deploys AI and machine-learning systems.

Position Responsibilities

• Build, Monitor & Optimize- Use generative capabilities within a broader system that plans steps, makes decisions, executes actions autonomously, and adapts. Create test suites, datasets, and release criteria to ensure reliability and safety. Track performance, troubleshoot issues, and improve speed, accuracy, and scalability.
• Design AI systems- Develop algorithms, models, and AI-powered applications focused on the underwriting process, and business insights.
• Data Pipeline Development- Collect, clean, and process large datasets for training and inference.
• Deploy & integrate models- Implement models into production software, APIs, and cloud environments (Azure)
• Stay current on AI advancements- Keep up with emerging models, generative AI, and tooling.
• Perform other related duties as requested, required, and/or as assigned in support of organizational goals.

Education, Training, and Experience

• Bachelor’s degree (or equivalent) in computer science, information technology, engineering, or related discipline preferred Prior experience in insurance, financial services, or risk management environments strongly preferred
• Experience creating AI skills, AI agents, Multiagentic agents, and/or LLM using RAG architecture ;
• or
• Equivalent combination of education and demonstrated experience.

Skills and Knowledge

• Programming skills (Python, Java, or similar)
• Understanding of LLMs, generative AI, and retrieval-augmented systems
• Cloud computing experience (AWS, Azure, GCP)
• Strong communication and collaboration skills.
• Ability to work on a dynamic, Entrepreneurial team that has concurrent projects Experience with Fabric is a plus.
• Understanding of insurance concepts such as loss ratios, underwriting performance, claim patterns, and risk segmentation is beneficial.

Competencies and Personal Characteristics

• Strong analytical, problem-solving, and decision-making skills.
• Ability to translate technical findings into practical business recommendations.
• Intellectual curiosity and continuous learning mindset.
• Ability to work collaboratively across departments.
• High attention to detail and commitment to data integrity.
• Performs effectively when changes in priorities, direction and resources occur.
• Ability to perform duties under in a fast-paced, high volume, office environment.
• Capacity to deal calmly and effectively with problems and unknown situations.
• Works with integrity and ethically. Upholds and supports the company’s goals and values.

Pay: $90,000.00 - $170,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Parental leave
• Retirement plan
• Vision insurance

Education:

• Bachelor’s (Preferred)

Work Location: Remote