Lead AI Engineer — Scalable Production ML

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

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.