AI Production & Observability Leader

Xsolis; Franklin (TN); Hybrid; USD 150,000 - 230,000; Full time

Benefits offered by this job

401K match

Flexible PTO

Paid parental leave

HSA/FSA options

Educational reimbursement

EAP & Mental Health

Job summary

Xsolis is seeking an experienced AI Operations leader to own the reliability, performance, and observability of our AI portfolio in production — covering traditional ML, GenAI, and agentic AI systems. You will guide a team ensuring deployments are safe, visible, and scalable across the organization.

The role emphasizes uptime, drift detection, and risk management, with collaboration across security, infrastructure, and governance functions to establish ethical AI practices and measurable

Qualifications

• 7+ years of experience in AI/ML operations, MLOps or production data science, including 2+ years of people or team leadership.
• Hands-on experience operating traditional ML and GenAI systems in production (deployment, monitoring, incident response).
• Strong understanding of observability practices — drift detection, model performance monitoring, logging, alerting — at scale.
• Experience partnering with Security and Infrastructure teams on production risk and access controls.
• Excellent communication skills, with the ability to translate operational risk into terms both technical and business stakeholders understand.

Responsibilities

• Own deployment support, monitoring, and day-to-day reliability of AI systems in production across traditional ML, GenAI, and agentic AI.
• Lead incident response and root-cause troubleshooting for AI/ML services, including agentic systems with autonomous or tool-using behavior.
• Partner with MLOps, Cloud Engineering, and Infrastructure teams to build and maintain robust deployment pipelines.
• Establish dashboards and alerting that give the organization real-time visibility into AI system health.
• Lead and grow a small, high-leverage production support and observability team.

Job description

Xsolis is seeking an experienced AI Operations leader to own the reliability, performance, and observability of our AI portfolio in production — covering traditional ML, GenAI, and agentic AI systems. You will guide a team ensuring deployments are safe, visible, and scalable across the organization.

The role emphasizes uptime, drift detection, and risk management, with collaboration across security, infrastructure, and governance functions to establish ethical AI practices and measurable