Senior AI/ML Reliability Engineer for Autonomous Systems

Jobtailor; Sunnyvale (CA); On-site; USD 230,000 - 350,000; Full time

Job summary

Jobtailor in Sunnyvale, CA, seeks a senior engineer to lead technical development of agentic AI systems for reliability and automation, architect ML platforms, and build multi-agent orchestration for change management and scalability.

You will design observability, self-healing infrastructure, and fault-tolerant hybrid-cloud deployments, mentor teams, and advance MLOps/AIOps for autonomous optimization.

Qualifications

• Bachelor’s degree or higher in a technical field with extensive software engineering experience.
• 12+ years of hands-on experience in Reliability/AI-ML/Platform Engineering.
• Proven track record influencing architecture and driving technical excellence in large organizations.
• Deep experience operating mission-critical systems.
• Expert-level cloud and observability expertise across multiple platforms.

Responsibilities

• Lead technical development of next-generation agentic AI systems and intelligent automation solutions.
• Architect and implement ML platforms and autonomous agents for change management, monitoring, prediction, and automated issue resolution.
• Design and implement multi-agent orchestration platforms for change management, capacity planning, and performance optimization.
• Build intelligent observability and monitoring platforms using ML-driven anomaly detection, predictive analytics, and autonomous resolution.
• Develop self-healing infrastructure platforms that predict, prevent, and automatically remediate system issues.

Skills

Reliability Engineering

AI/ML Engineering

Platform Engineering

Multi-Agent Frameworks

Cloud Engineering

Education

Bachelor’s degree in CS/Engineering or related area

Master’s degree preferred

Tools

TensorFlow

PyTorch

Kubernetes

Docker

CI/CD Pipelines

Infrastructure as Code

MLflow

Kubeflow

Seldon

Azure

GCP

AWS

Kafka

Pulsar

Job description

Jobtailor in Sunnyvale, CA, seeks a senior engineer to lead technical development of agentic AI systems for reliability and automation, architect ML platforms, and build multi-agent orchestration for change management and scalability.

You will design observability, self-healing infrastructure, and fault-tolerant hybrid-cloud deployments, mentor teams, and advance MLOps/AIOps for autonomous optimization.