Description

Responsibilities

• Define and maintain enterprise architecture across application, data, integration, cloud, and platform domains
• Lead the design and implementation of scalable cloud-native solutions and establish architecture standards based on practical delivery experience
• Ensure consistent adoption of enterprise patterns across technology initiatives
• Integrate AI, automation, and analytics capabilities into the broader enterprise architecture
• Align technology architecture with business strategy and long-term roadmap
• Provide architectural leadership across major enterprise initiatives
• Guide solution architects and engineering teams on architecture decisions
• Define reusable architectural patterns and shared platform capabilities
• Act as a design authority for complex, cross-domain solutions
• Balance innovation with stability, security, and operational maturity
• Establish governance models for platforms, integrations, data, and AI-enabled solutions
• Define security, compliance, and risk guardrails in collaboration with security and risk teams
• Review solution designs for alignment with enterprise standards
• Ensure architectural consistency across cloud, SaaS, and on-premises solutions
• Promote observability, resiliency, disaster recovery, and operational readiness by design
• Review and approve AI solution designs
• Identify opportunities for reusable components and guide teams on technical implementation approaches
• Evaluate new AI technologies and platforms
• Drive the evolution of the enterprise AI platform capabilities
• Evaluate emerging technologies including AI, generative AI, automation, and data platforms
• Define how AI capabilities are responsibly embedded into enterprise solutions
• Define roadmap for platform capabilities and features
• Guide integration of emerging technologies with existing enterprise systems

Qualifications

• Required
  • 10+ years of experience in software engineering, solution architecture, or enterprise architecture
  • Demonstrated hands-on experience designing, building, deploying, and supporting enterprise solutions on AWS, including the ability to explain architectural decisions, trade-offs, scalability, security, and operational considerations
  • Strong background in large-scale, distributed enterprise systems
  • Proven experience designing cloud-native and hybrid architectures
  • Hands-on understanding of data, integration, and platform architectures
  • Experience incorporating AI and automation into enterprise solutions
  • Experience owning and delivering complex enterprise applications end-to-end, including architecture, development, deployment, support, and continuous improvement
  • Experience designing highly available, scalable, and disaster recovery-enabled solutions
  • Ability to explain solution architecture and technical decisions end-to-end
  • Strong enterprise architecture frameworks, principles, and governance experience
  • Hands-on experience building and implementing enterprise applications; comfort reviewing code, solution designs, and technical implementations
  • Deep expertise in application, data, integration, and cloud architecture
  • Strong software engineering background with hands-on development experience; proficiency with Python, Node.js, Java, C#, or similar languages, with demonstrated ownership of application design and implementation
  • Extensive hands-on experience with AWS services and cloud-native design patterns (compute, storage, networking, serverless, IAM, etc.)
  • Strong understanding of security, compliance, and risk considerations
  • Experience with API-driven and event-driven architectures
  • Data architecture, governance, and integration patterns expertise
  • Ability to translate strategy into executable architecture

Key Skills

Education

Bachelor's degree