Staff AI Engineer

10 days ago

USA (city not specified)Staff+

Base Salary

$205k - $307k/yr

Responsibilities

Architect end-to-end AI/ML solutions across the AI/ML lifecycle with attention to reliability, scalability, security, cost, and maintainability.
Build the AI Engineering discipline and establish practices and standards across Data Breach Response and the broader engineering organization.
Define and lead execution of the AI strategy across multiple 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.
Design how data, models, services, and deployment patterns fit together while balancing latency, throughput, accuracy, and regulatory constraints.
Prevent operational issues through system design and automation, build alerting, conduct root cause analysis, and share learnings.
Mentor junior, senior, and lead AI Engineers and communicate risks and technical decisions across stakeholders.

10+ years of experience designing, building, and operating cloud-native distributed systems.
5+ years focused on AI/ML systems and data platforms in production at scale.
Technical leadership experience 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 support Applied Science evaluation infrastructure.
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.
Preferred track record of driving organization-wide AI/ML engineering improvements in regulated or large-scale environments.

Competitive base salary, annual performance bonus, long-term incentives, benefits, DTO, parental leave, and an equity program.
Remote/hybrid work arrangement is indicated in the posting.
Opportunity to work on high-impact legal technology, large-scale cloud-native systems, and end-to-end AI/ML ownership.
Collaborative and inclusive culture focused on knowledge sharing and continuous improvement.