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2d ago

AI Engineer

National Hockey League (NHL) New York, NY

New York, NY

2d ago

$200k - $225k/yr Full time Ai Workflows Artificial Intelligence AWS

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Job Description

The AI Engineer will configure, orchestrate, and scale production-grade AI systems across the NHL data platform from onsite New York operations, enabling generative AI features, autonomous agent workflows, and intelligent business process automation.

Responsibilities

Configure and deploy AI agents using managed platforms such as Snowflake Cortex Agents, Claude API, and extend them with custom tools and integrations where the platform falls short.
Design multi-agent workflows including task handoffs, tool use, and human-in-the-loop escalation paths.
Partner with stakeholders to identify where agents can replace or augment manual processes, then build integrations with internal systems including CRMs, ERPs, and data warehouses.
Design fallback behaviors and human checkpoints for processes where fully autonomous action carries risk.
Connect AI agents to modern data platforms such as Snowflake or Databricks with appropriate access controls, and work within existing pipeline infrastructure rather than building parallel systems.
Define success criteria, build evaluation frameworks, and run structured tests before any system goes to production.
Monitor agent behavior in production and manage inference cost versus output quality trade-offs across managed platforms.
Monitor token utilization across agent workflows and advise teams on cost control and efficient platform usage.
Apply GDPR, CCPA, and internal governance requirements across the full agent lifecycle, covering data access, logging, and outputs. Treat privacy-by-design as an architectural constraint from the start, not a review step at the end.
Work with legal and compliance as a technical partner, and build fairness, explainability, and human oversight into agent workflows.
Translate AI capabilities and limitations clearly to non-technical stakeholders and contribute to internal guidelines so other teams can work with AI systems confidently and safely.

Requirements

5 or more years in software or data engineering, with at least 1 year working with 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 a track record of connecting AI to real business processes rather than demos.
Python, REST APIs, MCP and event-driven architectures. Experience with prompt design, agent behavior configuration, and tool and function calling within managed platform frameworks.
Proficiency with at least one cloud data platform such as Snowflake, or Databricks, and a solid understanding of data access patterns and governance sufficient to design agents that respect data boundaries.
Ability to build lightweight CI/CD pipelines for deploying and updating agent configurations and working knowledge of what major AI platform providers offer, where their limits are, and when it makes sense to combine them.
Experience with front end development and design tools like Figma; enough to shape how AI-powered interfaces look and feel, even if design is not your primary craft.
Working knowledge of GDPR, CCPA, and internal data governance requirements, with demonstrated ability to apply privacy-by-design principles in system architecture and to engage legal and compliance teams as a technical partner.

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 a plus, though demonstrated hands-on experience carries more weight than credentials alone

Salary Range

$200,000 - $225,000 per year. Actual base pay for a successful candidate will be determined based on factors including experience, market demands, and geographic location.

Time to Recharge

Utilize our generous Paid Time Off (PTO) to focus on your well-being and ensure a healthy work/life balance. PTO includes paid holidays, vacation, personal and sick days, plus an extra day off for your birthday.

Ability to Focus on Your Health

Comprehensive health benefits for employees and eligible dependents effective on day one with no waiting period.
The NHL subsidizes a large portion of health benefits costs, minimizing your out-of-pocket expenses for medical, dental, and vision coverage.

Childcare Leave

The primary caregiver to the child is entitled to up to 12 weeks of paid Childcare Leave at full pay following birth, adoption, or placement.
Non-primary caregivers are entitled to up to 6 weeks of paid Childcare Leave, to be taken within the first 6 months following birth, adoption, or placement.

Confidence in Your Retirement Goals

Participation in the NHL Savings Plan, including a 401K with pre-tax and Roth options and employer contributions.

A Hybrid Work Schedule

Hybrid work schedules are available for a majority of roles to support flexibility in location and hours.

Our New Headquarters

Located at One Manhattan West in Hudson Yards, featuring high-tech conference rooms, a view-filled lunch area, and a game room.

A Savings for Commuting

Pre-tax commuter benefit plan to offset travel costs to and from the office.

NHL Partner Rates

Exclusive pricing from NHL Partners on travel, consumer goods and services, plus access to the NHL Store.

Life at the NHL

Onboarding with teammates and HR, opportunities to learn about NHL culture, and participation in activities such as Tuesday Night Skate at Chelsea Piers and Employee Resource Groups.

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