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,AI agents,Agentic AI,API,AI,Cloud Architecture,CTI,CI/CD pipeline,data flows,Database performance,Distributed systems,generative AI,Knowledge graph,hybrid cloud,LLMs,LLM,ML technologies,AI models,microservices,microservice architectures,Model evaluation,Prompt engineering,Site Reliability,Reliability engineering,RAG,RAG patterns,SRE practices,integrating,technical debt,Workflow orchestration,autonomous,Emerging Technology,Architecture,architecture knowledge,Automation Engineering,automated,automation,Automation Experience,diagnosis,enterprise architecture,forecasts,AI governance,Incident management,infrastructure,throughput,operational readiness,Performance Engineering,production operations,scalability,technology roadmap,operational workflows

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact [email protected].

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.