AI Engineer

The National Hockey League is seeking an experienced AI Engineer to configure, orchestrate, and scale production AI systems across the NHL data platform, spanning generative features, autonomous agent workflows, and intelligent business process automation.

Responsibilities

• Configure and deploy AI agents on managed platforms such as Snowflake Cortex Agents and Claude API, extending capabilities with custom tools and integrations as needed
• Design multi agent workflows that cover task handoffs, tool usage, and human in the loop escalation paths
• Collaborate with stakeholders to identify automation opportunities and build integrations with CRMs, ERPs, and data warehouses
• Define fallback behaviors and human checkpoints for high risk autonomous processes
• Connect AI agents to Snowflake or Databricks with proper access controls, operating within existing pipeline infrastructure
• Establish success criteria, construct evaluation frameworks, and perform structured pre production testing
• Monitor production agent behavior and balance inference cost with output quality across managed platforms
• Track token usage across agent workflows and guide teams on cost control and efficient platform usage
• Apply GDPR, CCPA and internal governance across the agent lifecycle, treating privacy by design as a foundational constraint
• Partner with legal and compliance as a technical ally and embed fairness, explainability, and human oversight into agent workflows
• Clearly communicate AI capabilities and limitations to non technical stakeholders and contribute to internal guidelines for safe AI use

Requirements

• Five or more years in software or data engineering, with at least one year deploying LLM based or agentic systems in production
• Hands on experience configuring and deploying agents on at least one managed platform such as Cortex Agents, Claude API, Bedrock, or Azure AI Foundry, with proven integration of AI into real business processes
• Proficiency in Python, REST APIs, MCP and event driven architectures; experience with prompt design, agent behavior configuration, and tool calling within managed platforms
• Experience with Snowflake or Databricks and solid understanding of data access patterns and governance to design privacy respecting agents
• Ability to build lightweight CI/CD pipelines for deploying and updating agent configurations, plus knowledge of major AI platform offerings and how to combine them
• Background in front end development and design tools like Figma to shape AI powered interfaces, even if design is not the primary focus
• Working knowledge of GDPR, CCPA and internal data governance, with ability to apply privacy by design principles and collaborate with legal and compliance teams

Technologies

• Snowflake Cortex Agents
• Claude API
• Bedrock
• Azure AI Foundry
• Snowflake
• Databricks
• Python
• REST APIs
• MCP
• Figma
• Excel
• PowerPoint

Benefits

• Time to Recharge
• Ability to Focus on your Health
• Childcare Leave
• Confidence in your Retirement Goals
• A Hybrid Work Schedule
• Our New Headquarters
• A Savings for Commuting
• NHL Partner Rates
• Life at the NHL

Core Competencies

• Accountability
• Adaptability
• Communication
• Critical Thinking
• Inclusion
• Professionalism
• Teamwork & Collaboration

Education / Certifications

• A degree in Computer Science, Data Science, or a related field is preferred
• Relevant cloud or AI certifications such as AWS ML Specialty, Azure AI Engineer, or Snowflake SnowPro are advantageous, though hands on experience weighs more than credentials

Salary Range

• $200,000 – $225,000 per year
• Actual base pay will be determined based on experience, training, market demand, and geographic location

Time to Recharge

• Generous Paid Time Off including holidays, vacation, personal and sick days, with an extra day off for your birthday

Ability to Focus on Your Health

• Comprehensive health benefits for employees and dependents with no waiting period; NHL subsidizes a large portion of costs

Childcare Leave

• Primary caregiver eligible for up to 12 weeks of paid leave; non primary caregiver eligible for up to 6 weeks, both at full pay and within respective timelines

Confidence in Your Retirement Goals

• Participation in the NHL Savings Plan including 401K options and employer contributions

A Hybrid Work Schedule

• Flexible hybrid work arrangements available for a majority of roles

Our New Headquarters

• State of the art offices at One Manhattan West in Hudson Yards with modern meeting spaces, views, and collaboration amenities

A Savings for Commuting

• Pre tax commuter benefits to offset travel costs to the office

NHL Partner Rates

• Exclusive pricing from NHL Partners on travel, consumer goods, and services, including the NHL Store

Life at the NHL

• Onboarding with teammates and HR, opportunities to learn about the organization and culture, optional hockey activities, and access to Employee Resource Groups