AI Engineer

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

About the National Hockey League

The National Hockey League (NHL) was founded in 1917 and is the leading professional ice hockey league in the United States and Canada. With over 1,500 employees, the NHL is a global sports and entertainment organization dedicated to building healthy communities through hockey.

Summary – What we expect of you

We are building the next generation of AI‑powered capabilities across our data platform. As an AI Engineer, you will configure, orchestrate, and scale production‑grade AI systems using platforms such as Snowflake Cortex Agents and Claude. You will work at the intersection of evolving AI platforms and real‑world enterprise data, partnering with data engineers, analysts, product managers, and business stakeholders to deliver impactful solutions.

Essential Duties and Responsibilities

• Agent orchestration and configuration:
  - Configure and deploy AI agents on managed platforms (e.g., Snowflake Cortex Agents, Claude API) and extend them with custom tools and integrations.
  - Design multi‑agent workflows with task handoffs, tool use, and human‑in‑the‑loop escalation paths.
• Business process automation:
  - Identify processes that can be replaced or augmented by agents, then build integrations with internal systems such as CRMs, ERPs, and data warehouses.
  - Design fallback behaviors and human checkpoints for processes where full automation is risky.
• Data platform integration:
  - Connect AI agents to modern data platforms (Snowflake, Databricks) with appropriate access controls, integrating into existing pipeline infrastructure.
• Evaluation, observability, and cost:
  - Define success criteria, build evaluation frameworks, and run structured tests prior to production.
  - Monitor agent behavior, manage inference cost versus output quality, and advise on token utilization and cost control.
• Privacy, security, and responsible AI:
  - Apply GDPR, CCPA, and internal governance across the agent lifecycle.
  - Build fairness, explainability, and human oversight into workflows, working with legal and compliance.
• Communication and collaboration:
  - Translate AI capabilities and limitations to non‑technical stakeholders and contribute to internal guidelines.

Qualifications

• 5+ 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 (Cortex Agents, Claude API, Bedrock, Azure AI Foundry) with real business process integration.
• Proficiency in Python, REST APIs, event‑driven architectures, prompt design, and tool/function calling within managed platforms.
• Experience with a cloud data platform (Snowflake, Databricks) and knowledge of data access patterns and governance.
• Ability to build lightweight CI/CD pipelines for agent configuration deployment.
• Front‑end development and design tools (e.g., Figma) to shape AI‑powered interfaces.
• Knowledge of GDPR, CCPA, and privacy‑by‑design principles.

Preferred

• Background in robotic process automation or business process management.
• Experience with multimodal agent workflows.
• Open‑source contributions in AI or ML.

Education and Certifications

• A degree in Computer Science, Data Science, or related field (preferred).
• Relevant cloud or AI certifications (AWS ML Specialty, Azure AI Engineer, Snowflake SnowPro) are a plus.

Skills

• Strong judgment in selecting managed AI platforms versus custom solutions.
• Independent, practical problem solver with high ownership.
• Privacy, security, and governance as core engineering responsibilities.
• Consistent focus on fallback design, monitoring, and human oversight.
• User‑centered mindset prioritizing usability and clarity.
• Up‑to‑date knowledge of evolving AI platforms.
• Microsoft Office skills (Excel, PowerPoint).
• Excellent verbal and written communication at all levels.
• Data analysis proficiency; attention to detail and organization.
• Positive, energetic attitude.

Core Competencies

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

Benefits and Compensation

• Competitive salary: $200‑225K.
• Paid Time Off (PTO) including holidays, vacation, personal, sick days, and birthday day off.
• Comprehensive health benefits with minimal employee cost.
• Employee Assistance Program (EAP) and digital wellness resources.
• Childcare Leave: up to 12 weeks paid for primary caregiver; up to 6 weeks for secondary caregiver.
• 401(k) plan with pre‑tax and Roth options; employer contributions.
• Hybrid work schedule available.
• Pre‑tax commuter benefit plan.
• Access to NHL partner rates and NHL Store discounts.

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.