Artificial Intelligence (AI), Automation, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Cost Control, Cross-Functional, Data Management, High Availability, Incident Response, Machine Tool, Operations Processes, Performance Analysis, Performance Metrics, Performance Tuning/Optimization, Production Systems, Resource Utilization, Risk, Root Cause Analysis
Job Position: AI Architect/Engineer
Job Location: Chicago, IL or Minneapolis, MN
Job Duration: Long Term Contract
Job Description:
- Strong expertise in AI Ops / MLOps / LLM Ops practices
- End-to-end model lifecycle management
- Advanced model monitoring, observability, and alerting frameworks
- Drift detection, performance tracking, and automated retraining
- CI/CD and DevSecOps for AI/ML systems
- Scalable deployment architectures for AI/ML and LLM
- AI governance, risk, security, and compliance frameworks [
- AI platform engineering and operational tooling experience
- Performance optimization (latency, cost, scalability) for AI workloads
- Strong experience in automation of AI operations workflows
- Data pipeline integration and ML infrastructure management
- Cross-functional collaboration with engineering, data, and platform teams
Responsibilities:
- Define and implement AI Ops / MLOps / LLM Ops strategy for enterprise AI platforms
- Manage end-to-end AI operations lifecycle (deployment, monitoring, scaling, optimization)
- Establish model monitoring, observability, and alerting frameworks for production AI systems
- Implement model lifecycle management (versioning, deployment, retraining, rollback, drift detection)
- Define and track AI Ops KPIs (performance, reliability, incident reduction, automation efficiency)
- Ensure high availability, scalability, and performance of AI systems in production
- Drive adoption of CI/CD and DevSecOps practices for AI/ML systems
- Implement governance, risk, security, and compliance controls for AI systems
- Collaborate with AI engineering, data, and platform teams for seamless operation
- Manage incident response, root-cause analysis, and continuous improvement for AI system
- Optimize cost, latency, and resource utilization of AI workloads
- Drive automation of AI operations processes and workflows
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.