Associate AI Agent Analyst
About the position
Hard Rock Digital is focused on becoming the best online sportsbook, casino, and social gaming company in the world. We’re building a team that is passionate about learning, operating, and developing new products and technologies for millions of users.
We care deeply about each customer’s interaction, experience, and behavior — and we are increasingly leveraging AI and intelligent automation to improve how we operate across Customer Operations, Risk, Fraud, and Compliance.
As an AI Agent Analyst (Associate), you will play a key role in building, operating, and improving AI-powered agents that support customer experience, risk operations, and internal workflows.
This role is designed for high-potential, early-career individuals who are excited about AI and want to operate with ownership from day one. You will work closely with product, engineering, data, and operations teams to help design, train, tune, and optimize AI agents in real-world environments.
You will actively operate and improve AI systems, with the expectation that you grow quickly into owning use cases and contributing to the AI roadmap.
Ownership & Growth Expectations
This is a high-ownership role for individuals who want to operate like builders early in their career.
Take initiative, identify opportunities, and drive work forward
Own assigned AI use cases, including training, tuning, and performance monitoring
Grow into owning workflows end-to-end and contributing to roadmap direction
Operate in a fast-paced, evolving environment with increasing scope and impact
Responsibilities
• Take ownership of assigned AI agent use cases, including training, tuning, and optimization
• Monitor performance (accuracy, resolution, escalation, etc.) and identify improvements
• Iterate on prompts, workflows, and decision logic
• Build and maintain reporting on AI performance and impact
• Translate business workflows (CS, Fraud, Risk) into AI-driven logic
• Partner with cross-functional teams to refine and improve agent behavior
• Support testing, validation (UAT), and rollout of new capabilities
• Identify opportunities to reduce manual work and improve customer experience
• Contribute to shaping the AI roadmap
Requirements
• Bachelor’s degree in Computer Science, Engineering, Data Science, or related technical field strongly preferred
• 0–2 years of experience (internships, projects, or early career roles)
• Recent graduates from strong technical programs are encouraged to apply
• Demonstrated interest in AI, LLMs, or automation (coursework, projects, etc.)
• Strong analytical and problem-solving skills
• Ability to learn quickly and operate in ambiguous environments
• Strong communication and collaboration skills
• Strong technical foundation (programming basics, systems thinking, or data)
• Comfort working with logic flows, APIs, data, or automation systems
• Ability to quickly learn and apply new technologies
Nice-to-haves
• Exposure to AI tools, LLMs, chatbots, or automation platforms
• Experience with data, dashboards, or metrics
• Familiarity with customer operations, fraud, or support workflows
• Understanding of how technology improves business processes
Benefits
• Competitive pay and benefits
• Flexible vacation allowance
• A hybrid home / office working model
• Startup culture backed by a secure, global bran
Apply Now
Apply Now
Hard Rock Digital is focused on becoming the best online sportsbook, casino, and social gaming company in the world. We’re building a team that is passionate about learning, operating, and developing new products and technologies for millions of users.
We care deeply about each customer’s interaction, experience, and behavior — and we are increasingly leveraging AI and intelligent automation to improve how we operate across Customer Operations, Risk, Fraud, and Compliance.
As an AI Agent Analyst (Associate), you will play a key role in building, operating, and improving AI-powered agents that support customer experience, risk operations, and internal workflows.
This role is designed for high-potential, early-career individuals who are excited about AI and want to operate with ownership from day one. You will work closely with product, engineering, data, and operations teams to help design, train, tune, and optimize AI agents in real-world environments.
You will actively operate and improve AI systems, with the expectation that you grow quickly into owning use cases and contributing to the AI roadmap.
Ownership & Growth Expectations
This is a high-ownership role for individuals who want to operate like builders early in their career.
Take initiative, identify opportunities, and drive work forward
Own assigned AI use cases, including training, tuning, and performance monitoring
Grow into owning workflows end-to-end and contributing to roadmap direction
Operate in a fast-paced, evolving environment with increasing scope and impact
Responsibilities
• Take ownership of assigned AI agent use cases, including training, tuning, and optimization
• Monitor performance (accuracy, resolution, escalation, etc.) and identify improvements
• Iterate on prompts, workflows, and decision logic
• Build and maintain reporting on AI performance and impact
• Translate business workflows (CS, Fraud, Risk) into AI-driven logic
• Partner with cross-functional teams to refine and improve agent behavior
• Support testing, validation (UAT), and rollout of new capabilities
• Identify opportunities to reduce manual work and improve customer experience
• Contribute to shaping the AI roadmap
Requirements
• Bachelor’s degree in Computer Science, Engineering, Data Science, or related technical field strongly preferred
• 0–2 years of experience (internships, projects, or early career roles)
• Recent graduates from strong technical programs are encouraged to apply
• Demonstrated interest in AI, LLMs, or automation (coursework, projects, etc.)
• Strong analytical and problem-solving skills
• Ability to learn quickly and operate in ambiguous environments
• Strong communication and collaboration skills
• Strong technical foundation (programming basics, systems thinking, or data)
• Comfort working with logic flows, APIs, data, or automation systems
• Ability to quickly learn and apply new technologies
Nice-to-haves
• Exposure to AI tools, LLMs, chatbots, or automation platforms
• Experience with data, dashboards, or metrics
• Familiarity with customer operations, fraud, or support workflows
• Understanding of how technology improves business processes
Benefits
• Competitive pay and benefits
• Flexible vacation allowance
• A hybrid home / office working model
• Startup culture backed by a secure, global bran
Apply Now
Apply Now