AI Engineer — Enterprise Agents & Data Platforms

National Hockey League (NHL); New York (NY); Hybrid; USD 200,000 - 225,000; Full time

Benefits offered by this job

Competitive salary

PTO including holidays

Comprehensive health benefits

401(k) plan with employer contributions

Hybrid work schedule

NHL Store discounts

Job summary

The National Hockey League (NHL) seeks an AI Engineer to enhance its data platform with AI capabilities. You'll work in a dynamic environment deploying AI solutions using platforms such as Snowflake and Claude, collaborating with various stakeholders to deliver effective results.

With responsibilities that include orchestrating AI agents and automating business processes, the ideal candidate will bring over 5 years of experience and a degree in a relevant field. Competitive salary and benefits are offered, alongside a hybrid work schedule.

Qualifications

• 5+ years in software or data engineering with LLM systems experience.
• Hands-on agent deployment experience on managed platforms.
• Proficient in Python and cloud data platforms.

Responsibilities

• Configure and deploy AI agents on managed platforms.
• Identify and build integrations for business process automation.
• Connect AI agents to modern data platforms.

Skills

AI platforms

Python

REST APIs

Event-driven architectures

Data analysis

Excellent communication

Education

Degree in Computer Science, Data Science or related

Tools

Snowflake

Databricks

CI/CD pipelines

Figma

Job description

The National Hockey League (NHL) seeks an AI Engineer to enhance its data platform with AI capabilities. You'll work in a dynamic environment deploying AI solutions using platforms such as Snowflake and Claude, collaborating with various stakeholders to deliver effective results.

With responsibilities that include orchestrating AI agents and automating business processes, the ideal candidate will bring over 5 years of experience and a degree in a relevant field. Competitive salary and benefits are offered, alongside a hybrid work schedule.