Senior GenAI Engineer

National Basketball Association (NBA) • New York, NY

1d • Remote

About The Position

The NBA’s Enterprise Generative AI team is seeking a highly skilled and visionary Software Engineer to lead the development, deployment, and scaling of cutting-edge Generative AI applications that reimagine how our internal IT systems and business operations function. This role offers a unique opportunity to build foundational AI infrastructure and products that directly impact the way the NBA operates across departments—ranging from IT automation and support to business intelligence and productivity enhancement. As a technical thought leader, you’ll drive forward the use of large language models (LLMs) and foundational models (FMs), designing and fine-tuning bespoke AI solutions tailored to enterprise challenges. You’ll collaborate across IT, business, and product teams to identify transformative use cases and implement scalable AI-first workflows that unlock new value. Why Join Us: Be at the forefront of enterprise AI transformation within one of the most recognized sports and media organizations in the world. Drive high-impact initiatives that blend technology, data, and user experience to shape the future of work across the NBA. Work with cutting-edge tools and LLM platforms in a collaborative, fast-paced, and forward-thinking environment.

Requirements

• Educational Background: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related discipline.
• Enterprise Engineering Experience: Minimum 3 years in applied AI/ML roles, ideally in enterprise contexts. Experience integrating ML solutions with platforms such as ServiceNow, GitHub, or cloud-based environments.
• AI/ML Expertise: Deep understanding of Generative AI, LLMs, NLP, Transformers, and model fine-tuning techniques. Practical experience building and deploying models using frameworks like Hugging Face, PyTorch, or TensorFlow.
• Infrastructure & MLOps: Strong knowledge of cloud AI infrastructure (AWS/GCP/Azure), containerization (Docker/Kubernetes), and ML pipelines. Hands-on with tools like MLflow, Weights & Biases, or SageMaker.
• Software Engineering: Strong full-stack engineering skills (Python, JavaScript, Node.js, React, etc.) and background in building APIs and microservices.
• Data Fluency: Proficient in building ETL pipelines, managing structured/unstructured datasets, and using SQL and NoSQL systems.
• Communication & Strategy: Exceptional communication skills to present technical topics clearly to executives, and a strategic mindset to align AI concepts and projects with business objectives.

Nice To Haves

• R experience is a bonus.

Responsibilities

• Design and Develop: Architect and implement robust, scalable Generative AI systems using LLMs to solve enterprise-wide challenges in automation, knowledge discovery, and workflow acceleration.
• Model Development & Optimization: Fine-tune LLMs and foundational models to enterprise-specific data, optimizing for performance, latency, and relevance.
• Enterprise Integration: Seamlessly integrate AI tools into existing systems such as ServiceNow, GitHub, Tableau, SharePoint, and other platforms.
• Infrastructure Leadership: Define, build, and maintain scalable MLOps and LLMOps infrastructure for efficient model deployment, monitoring, and lifecycle management.
• Operational Efficiency: Develop automated AI-driven tools for internal support, IT ticketing systems, and operational efficiency improvements.
• AI Productization: Lead the creation of proof-of-concepts and transition them into production-grade AI features with cross-functional adoption plans.
• Best Practices & Governance: Champion ethical AI practices, security compliance, and responsible AI principles across the development lifecycle.
• AI Evangelism: Collaborate with internal stakeholders to promote AI literacy and adoption through demos, training sessions, documentation, and strategic influence.
• Innovation Watch: Stay up-to-date on industry trends, research papers, and emerging models to continuously improve and innovate NBA’s internal AI capabilities.
• Impact: Work closely with business and technology leaders to identify high-impact AI use cases and develop plans to address them.

Benefits

• Employees currently are eligible to receive an annual discretionary performance bonus, awarded at the sole discretion of the Company and subject to any terms and conditions set by the Company.
• Employees and/or eligible dependents may be eligible to participate in the following Company-sponsored employee benefit programs: medical; dental; vision; life/AD&D insurance; short- and long-term disability; fertility and family-forming assistance; wellbeing allowance; educational assistance; mental health coaching/therapy; tax advantaged accounts such as HSA and healthcare/dependent care FSAs; a 401(k) retirement plan; and time off benefits that include vacation, sick time, and personal days.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees