Software Engineer III - AI/ML

Overview

As Software Engineer III at Fanatics Betting & Gaming (FBG) with a focus on AI and Machine Learning, you will lead technical initiatives that leverage advanced AI and data-driven systems to transform customer operations into a market differentiator. Your expertise will be instrumental in designing, developing, and optimizing robust data infrastructure and pipelines, driving real-time AI-driven insights, conversational analytics, and predictive troubleshooting. Additionally, you will contribute significantly to building sophisticated UI applications and dashboards that empower customer success teams. You will collaborate closely with data scientists, ML engineers, product teams, and senior stakeholders, significantly impacting operational efficiency, customer engagement, and innovation at FBG.

Responsibilities

• Lead the architecture, design, and implementation of robust data pipelines and infrastructure supporting large-scale AI and machine learning initiatives.
• Drive the integration and optimization of advanced AI services, including AWS Bedrock, Large Language Models (LLMs), and internal platforms (Salesforce, Tableau, Slack).
• Collaborate closely with data scientists and machine learning engineers to optimize model deployments, refine feature engineering strategies, and ensure seamless operationalization of predictive and conversational AI solutions.
• Develop and enhance advanced real-time analytics workflows focused on conversational intelligence, sentiment analysis, and predictive troubleshooting.
• Ensure best practices in data quality, security, compliance, and governance are consistently applied across all AI-driven environments.
• Create and maintain comprehensive tooling and infrastructure to facilitate efficient testing, debugging, monitoring, and continuous improvement of AI applications.
• Establish and lead comprehensive observability frameworks (logs, metrics, alerts) to maintain system reliability, performance, and actionable operational insights.
• Proactively participate and provide technical leadership in code reviews, strategic planning, and technical architecture discussions, aligning closely with business objectives.
• Prototype, develop, and refine advanced, user-friendly UI screens and dashboards, enabling customer success teams to leverage AI-driven insights effectively.

Required Qualifications

• 6 - 10 years of professional experience in data engineering, specifically supporting complex AI, ML, or NLP-driven systems.
• Deep expertise with cloud technologies (AWS highly preferred), specifically AWS Bedrock, Redshift, MongoDB, and S3.
• Advanced proficiency in Python, SQL, and orchestration tools such as Airflow or Prefect, managing sophisticated AI-driven workflows.
• Proven experience integrating and operationalizing Large Language Models (LLMs) and sophisticated machine learning systems in production.
• Extensive experience with microservices architecture, RESTful APIs, and real-time data streaming technologies (Kafka, Kinesis).
• Robust experience with observability tools, CI/CD pipelines, and the reliability and continuous deployment of large-scale AI systems.
• Strong problem-solving and analytical skills, adept at navigating ambiguity, driving technical clarity, and collaborating effectively across diverse technical and business-focused teams.

Preferred Qualifications

• Extensive experience with AWS Bedrock or equivalent managed AI and NLP services.
• Demonstrated track record of developing and operationalizing real-time AI analytics, predictive troubleshooting tools, and advanced NLP-driven applications.
• Experience working with Salesforce or other related products or a firm understanding of customer success workflows. 
• Significant background in AI-driven customer service solutions, including chatbots, conversational analytics, and contact center technologies.
• Familiarity and experience with sentiment analysis, predictive modeling, and dynamic analytics in consumer-facing environments.
• Strong front-end development experience using modern frameworks (React, Angular, Vue) and deep familiarity with UI/UX design principles.
• Passionate about emerging AI trends, best practices in data engineering, and their application in dynamic industries such as gaming, sports betting, or customer engagement.
• Experience building front-end applications using modern frameworks (React, Angular, Vue) and familiarity with UI/UX design principles.

Ready to build the future of sports betting? If you possess some of these skills but not all of them, we still encourage you to apply!

Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.