AI Reliability Engineering Lead — Production-Grade AI

Socket.dev; Cincinnati (OH); On-site; USD 180,000 - 240,000; Full time

Job summary

84.51° is seeking a Senior Manager, AI Reliability Engineering to lead the new discipline ensuring enterprise AI is trustworthy at scale. You will define standards, build the reliability function, and partner with Platform, Model and Applied AI teams to embed resilience from architecture forward.

The role focuses on establishing SLIs/SLOs, on-call readiness, and automated quality controls while guiding a diverse team across Platform Engineering, AI, and Security to enable responsible AI

Qualifications

• 10+ years in software/production engineering with leadership experience (3+ years leading engineering teams).
• Track record of building capabilities, standards, automation or platforms that improve system reliability at scale.
• Deep technical depth in distributed systems, Kubernetes, cloud infrastructure and modern observability engineering.

Responsibilities

• Build the Discipline (0-to-1) and define production-grade AI standards.
• Stand up the AI Reliability Engineering function with charter, operating model and roadmap.
• Position reliability as an enabler of AI adoption and velocity across the enterprise.
• Embed resilience, testability, observability and safe failure modes into AI systems from architecture forward.
• Build reliability tooling and automation, including self-healing, quality-regression detection and safe deployment controls.
• Establish SLOs, error budgets, and reliability scorecards guiding architecture and roadmap decisions.
• Own production readiness and agent onboarding, with lifecycle controls for agents and runtimes.
• Own live observability and production-quality signals across model and agent behavior.
• Drive cost and performance optimization for AI workloads at scale.
• Lead hiring, coaching and growth of a multidisciplinary reliability team.

Skills

Distributed systems

Kubernetes

Cloud infrastructure (GCP/Azure)

SRE leadership

LLM/AI in production

Executive communication

Production readiness

Tools

LangSmith

MLflow

Arize

Fiddler

Job description

84.51° is seeking a Senior Manager, AI Reliability Engineering to lead the new discipline ensuring enterprise AI is trustworthy at scale. You will define standards, build the reliability function, and partner with Platform, Model and Applied AI teams to embed resilience from architecture forward.

The role focuses on establishing SLIs/SLOs, on-call readiness, and automated quality controls while guiding a diverse team across Platform Engineering, AI, and Security to enable responsible AI