Staff AI Engineer

Relativity; United States; Hybrid; USD 205,000 - 307,000; Full time

Benefits offered by this job

DTO (time off)

Parental leave

Equity program

Job summary

Relativity is seeking an experienced AI/ML Engineering Lead to design and operate cloud-native, production-grade AI systems within DBR. You will build the AI Engineering discipline, mentor engineers, and partner with product leadership to define the AI strategy across the team.

You will work across North America and Poland, guiding architecture decisions, implementing scalable pipelines, and ensuring secure, compliant data handling in high-stakes legal contexts.

Qualifications

• Extensive experience designing and running cloud-native distributed AI/ML systems.
• Leadership across multiple teams and clear architectural direction.
• Background in AI/ML architecture, data engineering, and security at scale.
• Fluency with ML frameworks and tooling for deployment and monitoring.

Responsibilities

• Architect end-to-end AI/ML solutions with reliability and security in mind.
• Build and mature the AI Engineering discipline within DBR.
• Collaborate across Relativity to elevate AI practices and standards.
• Mentor junior and senior AI engineers; lead technical reviews.
• Define and execute the AI strategy for DBR and its teams.
• Deploy, monitor, and operate AI/ML systems in production.
• Design data pipelines and platforms feeding AI/ML systems.
• Balance latency, throughput, accuracy with regulatory constraints.
• Automate and build observability; perform root-cause analysis.
• Communicate risks and decisions to stakeholders.

Skills

Cloud-native systems

AI/ML systems

Technical leadership

ML frameworks

Data engineering

MLOps

Distributed systems

Cloud architecture

Responsible AI

Governance

Job description

Posting Type

Remote/Hybrid

Job Overview

WHO WE ARE

Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial.

The world’s largest law firms, corporations, and government agencies rely on Relativity’s legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we are committed to expanding access to technology and supporting pro bono legal work.

WHAT WE DO

AI engineers at Relativity build and operate the AI/ML systems behind privacy programs, confidential information detection, and misconduct detection at production scale and under real legal stakes. The work spans building, deploying, and operating AI/ML systems, the data platforms that feed them, and the architecture that ties them together.

Job Description and Requirements

ABOUT THE ROLE

This role sits within Data Breach Response (DBR) engineering, which comprises four teams distributed across North America and Poland. DBR is an AI-powered product that helps identify and respond to data breaches at scale, against strict regulatory deadlines and tight timelines.

WHAT YOU’LL DO

• - 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 in DBR and the broader engineering organization.
• - Work across Relativity to elevate AI Engineering practices and standards.
• - 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 AI/ML systems in production, including pipelines and evaluation harnesses used by Applied Science.
• - Build and operate the data pipelines and platforms that feed AI/ML systems, partnering with Product, Applied Science, and DevOps.
• - Determine how data, models, services, and deployment patterns fit together, 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.

WHAT WE’RE LOOKING FOR

Required

• - 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, with experience 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 the infrastructure against which Applied Science evaluates them.
• - 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.

Preferred

• - 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.

WHY WE COULD BE A GREAT FIT

Impactful Mission

• - Build systems that help customers organize data, discover the truth, and act on it in high-stakes legal matters.

Engineering at Scale

• - Work on distributed, cloud-native systems that process large volumes of data.

Cutting-Edge Technology

• - Build with AI, cloud platforms, and scalable architectures shaping legal tech.

Growth and Ownership

• - Gain experience owning systems end-to-end across cloud and distributed environments.

Collaborative Culture

• - Work in a team focused on knowledge sharing and continuous improvement.

Inclusive Environment

• - Diverse perspectives create stronger teams and better outcomes.

Compensation and Benefits

• - Competitive salary, benefits, DTO, parental leave, and equity program.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:
$205,000 and $307,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:
Algorithms, Artificial Intelligence (AI), Big Data, Cloud Computing, Data Science, Deep Learning, Distributed Systems, Natural Language, Python (Programming Language), Software Engineering