Senior AI Governance & Infrastructure Architect

LinkedIn; California (MO); Hybrid; USD 198,000 - 326,000; Full time

Job summary

LinkedIn is building an AI Governance Platform to ensure models are ready and safe to operate in production. This Sr. Staff Software Engineer role focuses on defining architecture for governance infrastructure and scalable ML systems across the company.

You will collaborate with ML engineers, privacy, security, and product teams to implement guardrails, validation, and lifecycle tracking in production ML workflows. This position is hybrid at LinkedIn offices.

Qualifications

• BS/BA in Computer Science or related field, or equivalent technical experience.
• 5+ years of industry experience in software design, development, and algorithm-related solutions.
• 5+ years of experience programming in languages such as Python, C++, Java, Go, Rust, or Scala.
• 2+ years of experience as an architect, technical lead, or in another technical leadership position.
• 5+ years of experience building large-scale infrastructure, data platforms, machine learning systems, or distributed systems.
• Hands-on experience designing and developing distributed systems or other large-scale production platforms.
• Experience designing or working with metadata systems, data platforms, large-scale storage systems, or data-processing pipelines used to capture and reason over complex system or ML lifecycle state.
• Experience working with machine learning systems or production ML lifecycle workflows such as training, evaluation, validation, inference, or deployment.

Responsibilities

• Own the technical strategy and architecture for LinkedIn’s large-scale AI Governance, model validation, and policy enforcement infrastructure.
• Design and build high-scale, metadata-driven distributed systems that ingest, process, store, and analyze model lifecycle metadata, evaluation results, production signals, and model outputs.
• Build scalable validation and automated gating systems that support continuous model training and high-velocity deployment while determining whether models meet production standards.
• Translate governance requirements around fairness, bias, privacy, security, safety, and model quality into automated, enforceable platform policies.
• Develop evaluation and analysis frameworks that assess model behavior and generate signals used in governance workflows and production release decisions.
• Build platforms, APIs, SDKs, and abstractions that integrate governance, validation, lineage, and lifecycle tracking into ML development and deployment workflows.
• Partner with ML, AI research, infrastructure, Responsible AI, privacy, security, and product teams to define technical standards and scalable governance solutions.
• Provide Sr. Staff-level technical leadership by influencing architecture across teams, improving developer productivity, mentoring engineers, and raising the technical bar for AI infrastructure.

Skills

AI Governance / Responsible AI

Machine Learning Infrastructure / MLOp

Model Lifecycle & Model Validation

Metadata Platforms

Policy Enforcement / Automated Guard-'

Education

MS in Computer Science

PhD in Computer Science

Job description

LinkedIn is building an AI Governance Platform to ensure models are ready and safe to operate in production. This Sr. Staff Software Engineer role focuses on defining architecture for governance infrastructure and scalable ML systems across the company.

You will collaborate with ML engineers, privacy, security, and product teams to implement guardrails, validation, and lifecycle tracking in production ML workflows. This position is hybrid at LinkedIn offices.