Enterprise Architect - Platform & Data/AI

Derex Technologies Inc

$120K — $150K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, AI, Data Science, or related field (Master's preferred)
  • 10+ years of experience in software engineering, systems, or architecture roles
  • Experience shaping enterprise architecture in fintech, payments, or SaaS
  • Strong background in cloud-native, distributed systems
  • Hands-on experience integrating data and AI/ML capabilities
  • Experience applying AI/ML to operational or product challenges
  • Deep understanding of APIs and high-throughput transaction systems

Responsibilities

  • Define and maintain target-state platform architecture for payments
  • Establish architectural principles and guardrails for team autonomy
  • Guide architectural decisions for payment flows and integrations
  • Identify and reduce architectural complexity and technical debt
  • Own cloud architecture strategy, emphasizing resilience and cost efficiency
  • Drive modernization initiatives for measurable leverage
  • Identify AI/ML use cases to improve operational outcomes

Benefits

  • Collaborative and innovative work environment
  • Opportunity to influence architectural decisions directly
  • Networking opportunities with industry leaders
  • Investment in continuous learning and development
  • Potential for career advancement within a growing organization
Full 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's degree a plus).
  • 10+ years of experience in software engineering, systems, or architecture roles.
  • Proven experience shaping enterprise or platform architecture in fintech, payments, or enterprise SaaS environments.
  • Strong background in cloud-native, distributed systems.
  • Hands-on experience integrating data and AI/ML capabilities into production systems.
  • Practical experience applying AI/ML to real operational or product problems.
  • Deep understanding of APIs, integrations, and high-throughput transaction systems.
  • The ability to excel in a fast-paced, startup environment and maintain momentum through change.
  • A pragmatic, systems-driven mindset with a strong focus on delivering measurable outcomes.
  • Comfort operating effectively within a lean, evolving organization and adapting as priorities shift.
  • Sound architectural judgment, paired with the confidence to make thoughtful tradeoffs and stand behind decisions.
  • Clear, effective communication that aligns technical teams with business stakeholders and organizational goals.


Recommended but Not Required

  • Experience in payments, banking, or financial infrastructure.
  • Exposure to fraud, risk, or compliance systems.
  • Cloud or architecture certifications.


Regards,

Manoj Goud

Derex Technologies INC

Contact : Ext 206

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