Staff AI Engineer

Relativity is hiring a Staff AI Engineer for Data Breach Response (DBR) engineering to design, build, and operate production AI/ML systems and the data pipelines behind them for breach identification and response under regulatory deadlines.

Responsibilities

• Architect end-to-end AI/ML solutions across the full lifecycle using reliability, scalability, security, cost, and maintainability principles
• Build and grow the AI Engineering discipline within DBR and across the broader engineering organization
• Partner with teams across Relativity to elevate AI Engineering practices and standards
• Mentor junior AI Engineers and support senior and lead engineers
• Collaborate 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
• Design and operate data pipelines and platforms that feed AI/ML systems, working with Product, Applied Science, and DevOps
• Decide how data, models, services, and deployment patterns fit together while balancing latency, throughput, accuracy, and regulatory constraints
• Prevent issues via system design and automation, including alerting, root cause analysis, and sharing learnings
• Communicate risks and technical decisions to stakeholders

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
• Experience in AI/ML architecture, data engineering, and security at scale
• Fluency with ML frameworks and tooling for deploying, monitoring, and operating models, and building the infrastructure for Applied Science evaluations
• Proven ability to translate business goals into technical strategy
• Experience aligned with AI/ML Engineering, Data Engineering, MLOps, Distributed Systems, Cloud Architecture, Technical Leadership, and Responsible AI or Governance
• 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

Technologies

• AI/ML
• MLOps
• Distributed Systems
• Cloud Architecture
• Python (Programming Language)

Benefits

• Competitive salary, benefits, DTO, parental leave, and equity program
• Competitive base salary
• Annual performance bonus
• Long-term incentives

Location and Salary

• Location: Illinois (hybrid)
• Posting type: Remote/Hybrid
• Salary range: $205,000 to $307,000 per year

Required Skills

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