Staff AI Engineer

Relativity•Illinois, IL

3d•$205,000 - $307,000

About The Position

Relativity is a legal data intelligence company whose AI-powered cloud platform, RelativityOne, helps customers organize data and find relevant information for high-stakes legal work. This Staff AI Engineer role is within Data Breach Response (DBR) engineering, a product that uses AI to help identify and respond to data breaches at scale and under strict regulatory deadlines. DBR comprises four teams distributed across North America and Poland. The role provides technical leadership for AI engineering across DBR and the broader organization. It involves architecting, building, deploying, monitoring, and operating production AI/ML systems and the data platforms and pipelines that support them. The engineer will help define and execute DBR’s AI strategy, establish engineering practices and standards, and work with Product, Applied Science, DevOps, and engineering leadership to ensure systems meet requirements for reliability, scalability, security, cost, maintainability, and regulatory compliance. The expected salary range is $205,000 to $307,000. Compensation includes base salary, an annual performance bonus, and long-term incentives; the final offer depends on experience, skills, qualifications, and internal pay equity.

Requirements

10+ years of experience designing, building, and operating cloud-native distributed systems, including 5+ years focused on AI/ML systems and data platforms in production at scale.
Technical leadership across multiple teams or domains, including setting direction and aligning teams on architecture decisions.
Background in AI/ML architecture, data engineering, and security at scale.
Fluency with ML frameworks and tooling used to deploy, monitor, and operate models and build infrastructure for Applied Science evaluation.
Experience translating business goals into technical strategy.
Experience with AI/ML Engineering, Data Engineering, MLOps, Distributed Systems, Cloud Architecture, Technical Leadership, and Responsible AI or Governance.
Required skills include algorithms, artificial intelligence, big data, cloud computing, data science, deep learning, distributed systems, natural language, Python, and software engineering.

Nice To Haves

Experience shaping data platforms, evaluation infrastructure, or AI governance standards.
Track record of driving organization-wide AI/ML engineering improvements in regulated or large-scale environments.

Responsibilities

Architect end-to-end AI/ML solutions, applying reliability, scalability, security, cost, and maintainability principles across the AI/ML lifecycle.
Build the AI Engineering discipline within DBR and the broader engineering organization.
Elevate AI Engineering practices and standards across Relativity.
Mentor junior AI Engineers, as well as senior and lead engineers.
Partner with product and engineering leadership to define the AI strategy for DBR.
Lead execution of the AI strategy across DBR engineering teams.
Build, deploy, monitor, and operate production AI/ML systems, including pipelines and evaluation harnesses used by Applied Science.
Build and operate data pipelines and platforms that feed AI/ML systems in partnership with Product, Applied Science, and DevOps.
Determine how data, models, services, and deployment patterns fit together while balancing latency, throughput, accuracy, and regulatory constraints.
Prevent problems through system design and automation; build alerting, conduct root cause analysis, and share learnings.
Communicate risks and technical decisions across stakeholders.