AI Engineer

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.