Senior AI Engineer - Privacy

We are looking for Senior AI Engineer•Privacy for our client in Bellevue, WA .

Job Title:

Senior AI Engineer•

Privacy Job Location:

Bellevue, WA Job Type:

Contract Job Overview:

Pay Range:

$70/hr•$75/hr The Senior AI Engineer Privacy will design, build, and operationalize AI and agentic systems that power the data privacy platform at scale. This role involves applying large language models, retrieval-augmented generation, multi-agent orchestration, and foundation model capabilities to automate and enhance privacy operations.

Requirement/Must Have:

7 years of experience as an AI Engineer with a focus on privacy. 7 years of experience with Azure Data Factory and Azure. 5 years of experience with Databricks and Snowflake.

Responsibilities:

Design and build multi-agent systems, orchestration layers, and agentic workflows using frameworks such as LangChain or equivalent. Develop and operationalize retrieval-augmented generation pipelines integrating large language models into production privacy applications. Implement structured prompting, decision workflows, and tool orchestration for autonomous agent systems. Build AI-powered automation for privacy operations including intelligent data subject request routing and automated regulatory notifications. Enable human-in-the-loop controls and escalation paths for AI-assisted decisions in sensitive privacy workflows. Build and optimize data pipelines using Azure Data Factory, Databricks, Snowflake, or PySpark to support AI model training and inference. Apply prompt engineering and fine-tuning techniques to adapt foundation models for privacy-specific use cases. Implement vector databases and embedding strategies to power retrieval-augmented generation pipelines over internal privacy knowledge bases. Ensure data quality, lineage, and governance standards are maintained across all AI training and inference pipelines. Deploy and manage AI workloads on Azure or AWS, including serverless inference endpoints and GPU resources. Build and maintain CI/CD pipelines for AI model deployment using GitLab or Azure DevOps. Implement monitoring, alerting, and performance tracking for production AI models and agent systems. Apply containerization and orchestration to ensure scalable and reliable AI service deployments. Implement responsible AI principles across all AI systems used in privacy operations. Ensure AI-assisted workflows comply with applicable state and federal privacy regulations. Design and maintain audit trails and human-in-the-loop checkpoints for AI decisions affecting consumer privacy rights. Collaborate with legal, compliance, and privacy operations teams to translate regulatory requirements into AI solution guardrails. Partner with data engineers, full stack engineers, product managers, and privacy stakeholders to deliver end-to-end AI-powered privacy solutions. Mentor junior engineers on AI/ML engineering practices and responsible AI design principles. Produce clear technical documentation and architecture diagrams for AI systems in production. Contribute to internal accelerators and reusable AI component libraries.