Artificial Intelligence Engineer

Motion Recruitment; Seattle (WA); On-site; Full time

Benefits offered by this job

Medical Insurance

Health Savings Account

Flexible Spending Accounts

Voluntary Life Insurance

Short-Term Disability Insurance

Long-Term Disability Insurance

Legal and Identity Protection Plans

Job summary

A leading entertainment company is looking for an AI/ML Ops Engineer to enhance their AI Engineering team in Seattle, WA. The role revolves around managing AI platforms aimed at optimizing guest experiences and includes responsibilities like model deployment, performance monitoring, and collaboration across technical teams. This is a full-time position with an 18-month W2 contract offering hybrid work flexibility, competitive benefits, and opportunities for extension or permanent conversion in a dynamic work environment.

Qualifications

• Bachelor’s Degree in Computer Science, Information Systems, Engineering, or a related field is required.
• Hands-on experience with Gen AI/LLM platforms.
• Working knowledge of Responsible AI principles.

Responsibilities

• Own operational workflows for ML model deployment and updates.
• Monitor model performance KPIs including latency and error rates.
• Build dashboards for platform performance and cost management.

Skills

Hands-on experience with Gen AI/LLM platforms

Familiarity with AI agent architectures

Solid understanding of MLOps lifecycle

Strong reporting and dashboarding skills

Ability to coordinate across teams

Education

Bachelor’s Degree in Computer Science or related field

Tools

GCP

Azure

AWS

Kubeflow

MLflow

Job description

Are you ready to join a leading force in the AI space, powering innovative guest experiences at world-class destinations? One of the nation’s largest entertainment companies is searching for an AI/ML Ops Engineer to join their AI Engineering team on a hybrid basis in Seattle, WA. In this high-impact role, you will be at the center of building, monitoring, and optimizing the Gen AI platform that drives interactive experiences, cutting-edge operations, and creative content across multiple business units. If you thrive on technical challenge, scale, and visible impact, this is the place to make your mark!

This exciting opportunity to join one of the country's most beloved brands begins as an 18-month W2 contract, offering full-time hours, a hybrid schedule, competitive benefits, and the potential for long-term extension and/or conversion to permanent employment in a collaborative environment focused on technical innovation, safety, and scalability.

Responsibilities:

• Own operational workflows for deploying, updating, and versioning ML models across cloud platforms (GCP, Azure, AWS)
• Monitor and report model performance KPIs including latency, error rates, throughput, and inference quality
• Analyze model drift, degradation, and anomalies, escalating to engineering teams when necessary
• Oversee knowledge base pipeline health, chunking, and refresh cycles in AI platforms
• Document and maintain comprehensive inventory of models and agents, ensuring accuracy across environments
• Coordinate model evaluation cycles with Responsible AI and Core Engineering teams
• Maintain agent (AutoGen, MCP) health and reliability, tracking execution metrics and supporting configuration management
• Build out dashboards for platform performance, adoption, and cost management, delivering insights for stakeholders and executives
• Track and optimize AI/ML cloud spend, providing actionable cost analysis and allocation for application teams
• Support release management processes, tracking deployment health and collaborating across QA, performance, and infrastructure teams
• Ensure Responsible AI standards by monitoring guardrails, hallucination detection, and compliance reporting
• Serve as the operational hub for AI API consumers, supporting audit requests and compliance documentation

Skills & Experience:

• Bachelor’s Degree in Computer Science, Information Systems, Engineering, or a related field is required
• Hands-on experience with Gen AI/LLM platforms (Vertex AI, Azure OpenAI, AWS Bedrock)
• Familiarity with AI agent architectures (AutoGen, LangChain, MCP servers) and operational reliability
• Solid understanding of MLOps lifecycle, including model registry, version management, and deployment best practices
• Experience with vector databases, chunking, and Retrieval-Augmented Generation operations
• Proficiency with API management platforms such as APIGEE, tracking API gateway usage and trends
• Working knowledge of Responsible AI principles, including bias, hallucination, safety triggers, and guardrails
• Strong reporting and dashboarding skills (KPIs, model and agent metrics, spend reports)
• Prior experience supporting platform engineering, release operations, and technical documentation
• Exposure to ML pipeline tools (e.g., Kubeflow, MLflow, Vertex AI Pipelines) and ITIL or operational frameworks a plus
• Ability to coordinate across engineering, infrastructure, finance, and security teams in a fast-paced environment

You will receive the following benefits:

• Medical Insurance - Four medical plans to choose from for you and your family
• Health Savings Account (HSA)
• Health and Dependent Care Flexible Spending Accounts
• Voluntary Life Insurance, Long-Term & Short-Term Disability Insurance
• Hospital Indemnity Insurance
• Legal and Identity Protection Plans
• 529 College Saver Plan

Motion Recruitment Partners is an Equal Opportunity Employer, including disability/vets. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under Motion Recruitment Employment Accommodation policy. Applicants need to make their needs known in advance.