Enterprise Architect – Platform & Data/AI

Company Description

Derex Technologies Inc specializes in providing IT consulting, staffing solutions and software services. Globally headquartered in Harrison New Jersey since 1996 Derex delivers the highest quality technology professionals and an array of customized IT talent solutions designed to improve productivity and drive results to global clients throughout North America.

With over two decades of unparalleled experience, Derex provides supports to its clientele, across such industries as Systems Integration, Banking and Finance, Telecommunications, Pharmaceutical and Life Sciences, Energy, Healthcare, Technology, Transportation, and local and federal Government agencies.

Job Description

Position:  Enterprise Architect – Platform & Data/AI .

Location: Fort Collins CO No Remote or No Hybrid 5 Days on site.

Roles & Responsibilities:

Every payment, partner integration, and operational workflow at depends on a coherent, scalable architecture. 

The Enterprise Architect ensures that teams move fast without fragmenting the platform. By defining clear architectural direction, guardrails, and decision frameworks, this role reduces complexity, manages enterprise-level technical debt, and enables sustainable growth. 

As deepens its use of AI and automation, this role ensures those capabilities are production-grade, secure, and tightly integrated into real workflows — not bolted on as experiments. 

This is not a purely advisory role. It is about making decisions, driving alignment, and ensuring architecture delivers measurable business impact.

What You’ll Do

Own Platform & Enterprise Architecture 

• Define and maintain a target-state platform architecture to support a scalable, extensible, and resilient payments platform. 
• Establish and enforce architectural principles and guardrails that enable consistency while preserving team autonomy. 
• Guide architectural decisions for core payment flows, partner integrations, and shared platform services. 
• Identify, prioritize, and reduce architectural complexity and enterprise-level technical debt. 
• Ensure the architecture supports high availability, correctness, scalability, and regulatory requirements. 

Drive Cloud, Reliability, and Cost Discipline 

• Own the cloud architecture strategy (AWS), with emphasis on resilience, observability, and cost efficiency. 
• Partner with Platform Engineering and SRE to ensure architecture supports operational excellence. 
• Drive modernization and simplification initiatives where they create measurable leverage. 
• Incorporate FinOps-aware design decisions into platform architecture and service patterns. 

Apply AI & Intelligent Automation 

Identify and drive practical AI/ML use cases that improve platform and operational outcomes, including: 

• Payment exception handling and resolution 

• Anomaly detection and fraud signal identification 

• Intelligent routing, retries, and decisioning 

• Partner support and operational automation 

Define architectural patterns for AI-enabled systems, including: 

• Data pipelines and feature readiness 

• Model integration and inference services 

• Monitoring, feedback loops, and governance 

Ensure AI capabilities are secure, explainable where required, and production-grade. 

Partner with product and engineering to ensure AI is embedded into workflows — not treated as an afterthought. 

Align Architecture with Business Strategy 

• Translate business priorities into clear architectural decisions and tradeoffs. 
• Act as a trusted advisor to leadership on platform investments, sequencing, and risk. 
• Support strategic initiatives such as new partner models, platform extensions, and regulatory changes. 
• Evaluate vendors, platforms, and build-vs-buy decisions through an architectural lens. 

Lead Governance, Enablement, and Culture 

• Lead architecture reviews and provide clear, actionable guidance to engineering teams. 
• Establish lightweight governance that balances autonomy with architectural coherence. 
• Document architecture in ways that are current, practical, and useful to teams. 
• Mentor senior engineers and raise architectural thinking across the organization.

Required Experience & Skills:

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field (Master’