Lead AI Engineer

Rafferty Holdings is hiring two Lead AI Engineers as founding members of its AI Center of Excellence. The role embeds engineers in business operations to identify AI opportunities and build, deploy, support, and continuously improve production AI solutions.

Responsibilities:

• Work directly with operations, compliance, risk, and client service teams. Sit with the operators, learn how they do the work today, and find where AI removes friction
• Take each use case from discovery and scoping through build, deployment, adoption, and ongoing support
• Turn what you observe into clear problem statements, then into working software inside the systems people already use
• Put early versions in front of the people who will use them, watch how they work, and refine quickly based on their feedback
• Design, develop, deploy, and support enterprise AI applications and services
• Build solutions with LLMs, RAG architectures, AI agents, machine learning models, and intelligent automation
• Design, test, and optimize prompts to improve accuracy, consistency, reliability, and business outcomes
• Develop reusable prompt libraries, workflows, and AI solution frameworks
• Build APIs, integrations, and cloud-native services that speed AI adoption across the firm
• Set standards and best practices for AI architecture, prompt engineering, model evaluation, testing, and deployment
• Implement monitoring, governance, and controls for secure and responsible AI use
• Work with business, technology, compliance, risk, and security teams, and with the in-house IT lead, to deliver AI solutions that fit the firm's environment
• Before launch, document the production support model: ownership of monitoring, incidents, enhancements, controls, and solution retirement
• Evaluate emerging AI technologies and recommend where to adopt them
• Mentor future AI team members and help grow the AI Center of Excellence