Staff AI Engineer

Relativity; Round Lake (IL); Hybrid; USD 205,000 - 307,000; Full time

Benefits offered by this job

DTO

Parental leave

Equity program

Annual performance bonus

Long-term incentives

Job summary

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.

The role emphasizes technical leadership, end-to-end AI architecture, and collaboration across Relativity’s engineering teams to advance AI practices, governance, and scalable data platforms in a hybrid Illinois setting.

Qualifications

• 10+ years of experience designing, building, and operating cloud-native distributed systems with 5+ years in AI/ML in production.
• Technical leadership across multiple teams or domains.
• Experience in AI/ML architecture, data engineering, and security at scale.
• Fluency with ML frameworks and tooling for deploying, monitoring, and operating models.
• Proven ability to translate business goals into technical strategy.

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.
• 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.

Skills

Algorithms

Artificial Intelligence

Big Data

Cloud Computing

Data Science

Deep Learning

Distributed Systems

Natural Language

Python

Software Engineering

Job description

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