Sr Architect

Job Summary: Seeking a senior architect to assess the current Cutover platform, identify scalability and operational bottlenecks, and define a next-generation architecture for automated incident detection, diagnosis, remediation, and operational orchestration. The individual should combine deep architecture expertise with practical knowledge of AI/ML technologies, large-scale production operations, and emerging automation platforms. The role would support the continued evolution of Cutover, which is already being positioned as a strategic automation platform within CTI and APSE and has ongoing work around integration scalability, workload isolation, and automation expansion location: Charlotte, North Carolina job type: Contract salary: $56.49 - 66.49 per hour work hours: 8am to 5pm education: Bachelors Responsibilities: Current State Assessment: • Document existing Cutover architecture and supporting ecosystem • Analyze application, infrastructure, integration, and data flows • Identify performance constraints and technical debt • Evaluate resiliency, scalability, and operational readiness • Capacity Performance Engineering Analyze: • API throughput • Database performance • Queue utilization • Worker concurrency • Integration bottlenecks • Infrastructure scaling limits • Develop growth and capacity forecasts • Future State Architecture Define Target-state Architecture For: • Autonomous operations • Automated incident resolution • AI-assisted remediation • Event-driven automation • Self-healing platforms • Create a multi-year technology roadmap • AI and Emerging Technology Evaluation Assess And Recommend Industry-leading Technologies For: • Agentic AI platforms • AIOps platforms • Generative AI operations assistants • Event intelligence • Knowledge graph solutions • Autonomous remediation frameworks • Predictive incident management • 3-5+ years enterprise architecture experience • Experience with highly distributed systems • Experience scaling mission-critical platforms • Strong cloud and hybrid architecture knowledge • Experience with API, event-driven, and microservice architectures • Incident management • SRE practices • Operational observability • Reliability engineering • Experience in large-scale environments Understanding Of: • LLM architectures • RAG patterns • AI agents • Prompt engineering • AI governance • Model evaluation Preferred • Experience training or fine-tuning AI models • Experience building AI-powered operational workflows • Experience integrating AI into enterprise production environments • Automation Experience • Workflow orchestration platforms • CI/CD pipeline Qualifications: Current State Assessment: Document existing Cutover architecture and supporting ecosystem Analyze application, infrastructure, integration, and data flows Identify performance constraints and technical debt Evaluate resiliency, scalability, and operational readiness Capacity Performance Engineering Analyze: API throughput Database performance Queue utilization Worker concurrency Integration bottlenecks Infrastructure scaling limits Develop growth and capacity forecasts Future State Architecture Define Target-state Architecture For: Autonomous operations Automated incident resolution AI-assisted remediation Event-driven automation Self-healing platforms Create a multi-year technology roadmap AI and Emerging Technology Evaluation Assess And Recommend Industry-leading Technologies For: Agentic AI platforms AIOps platforms Generative AI operations assistants Event intelligence Knowledge graph solutions Autonomous remediation frameworks Predictive incident management 3-5+ years enterprise architecture experience Experience with highly distributed systems Experience scaling mission-critical platforms Strong cloud and hybrid architecture knowledge Experience with API, event-driven, and microservice architectures Incident management SRE practices Operational observability Reliability engineering Experience in large-scale environments Skills: AIOps,Agentic AI,AI agents,API,AI,CTI,CI/CD pipeline