Staff Data Architect for AI Pipelines (Remote)

ServiceNow; Oregon; Hybrid; USD 203,000 - 354,000; Full time

Job summary

ServiceNow in United States (Oregon) is seeking a Design & Architect Data Infrastructure leader to design data pipelines, ML tooling, and evaluation platforms for enterprise AI initiatives.

You will define data architectures across cloud and on-prem, build automated data transformations, and collaborate with product, AI, and engineering teams to establish metrics and standards for agentic workflows. Remote-friendly and high-impact role.

Qualifications

• 9+ years designing and building production data pipelines, data warehousing, ETL systems; strong expertise in SQL, Python, Javascript or equivalent, and distributed data processing
• 3+ years working on ML systems, model validation infrastructure, automated testing, or AI-powered applications; hands-on experience with data quality, feature engineering, and model monitoring
• Proven track record deploying, monitoring, and maintaining large-scale data systems in production; experience troubleshooting data quality issues, latency, and system reliability
• Ability to design scalable, secure data architectures; experience with cloud platforms (GCP, AWS), APIs, event-driven systems, and data governance patterns
• Familiarity with AI/ML evaluation frameworks, LLM-based systems, or agentic workflows; ability to instrument and evaluate complex AI systems; understanding of model performance tracking
• Comfortable driving technical conversations across multiple teams; takes end-to-end ownership; works autonomously; mentors peers on data engineering standards and best practices
• Experience on ServiceNow platform is good to have.

Responsibilities

• Design and oversee deployment of data architecture and pipelines to capture, manage, and store structured and unstructured data from internal and external sources; establish processes and data flows using cloud, local databases, and applicable storage forms
• Develop technical tools using ML and data-engineering techniques to cleanse, organize, and transform data; implement automated processes to maintain data structure integrity and quality standards on an ongoing basis
• Partner with product and AI teams to define evaluation metrics for agentic workflows; establish ground truth labeling standards and validation criteria; design evaluation datasets that reflect real-world agent execution
• Design and implement automated evaluation infrastructure that measures AI agent performance using Now LLM Service models and execution logs; create dashboards, reporting, versioning, and reproducibility of evaluation datasets and results
• Create design standards and quality assurance processes for data systems; define quality gates and validation frameworks; analyze workflow performance and recommend optimizations to accommodate evolving CRM AI requirements
• Collaborate with product, engineering, and data science teams; mentor junior engineers on data engineering and evaluation design; generalize evaluation patterns and metrics across Agentic AI products

Skills

Data pipelines

ML systems

Production data systems

Cloud platforms

AI/ML evaluation

Cross-team communication

ServiceNow experience

Job description

ServiceNow in United States (Oregon) is seeking a Design & Architect Data Infrastructure leader to design data pipelines, ML tooling, and evaluation platforms for enterprise AI initiatives.

You will define data architectures across cloud and on-prem, build automated data transformations, and collaborate with product, AI, and engineering teams to establish metrics and standards for agentic workflows. Remote-friendly and high-impact role.