Artificial Intelligence Engineer

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.

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