What are the responsibilities and job description for the Principal Cloud Infrastructure Architect position at hyrusinc?
Key Responsibilities
Enterprise Modernization & AI Enablement: Define and govern target-state enterprise architectures, technical standards, and multi-year roadmaps across hybrid cloud, infrastructure automation, analytics, asset management, and AI-enabled decision support systems.
AI & Intelligent Automation Architecture: Evaluate Generative AI, machine learning, and process automation use cases; translate complex business requirements into secure deployment architectures with robust data governance, access controls, auditability, and operational ownership.
Zero Trust & Security Architecture: Lead architectural direction for Zero Trust models, cloud networking, identity-aware access, and microsegmentation across on-premises and cloud environments, incorporating software-defined controls and automated policy enforcement.
Regulatory Governance & PCI Transformation: Conduct technical risk assessments and establish compliant architecture patterns aligned with PCI-DSS, NIST, ISO/IEC 27001, and Federal Railroad Administration (FRA) regulations.
Architecture Acceleration & AI Workflows: Apply AI-assisted prompt engineering and architecture workflows to accelerate technical documentation, risk analyses, business cases, and executive communications; establish reusable patterns for complex security and cloud concepts.
Cross-Functional Leadership & Coaching: Partner closely with peer architects (including Cloud Platform leads), engineering, and compliance teams to provide hands-on coaching, design walkthroughs, and reference implementations that scale internal technical capabilities.
Minimum Qualifications
Education & Experience: Bachelor’s degree in Computer Science, Data/Intelligence, or a related field with 13 years of relevant experience (or equivalent work experience).
Enterprise Scale: Proven track record of delivering significant business value realization for large-scale enterprise environments valued at $500M .
Architecture Practice Leadership: 9 years of technical/business experience, including 2 to 3 years embedded within a formal Enterprise Architecture Practice area.
AI & Security Architecture Mastery: Demonstrated experience designing architectures for AI/ML integration, Zero Trust, microsegmentation, and regulated payment (PCI-DSS) environments.
Stakeholder Influence & Communication: Outstanding ability to communicate complex concepts to C-suite leaders, senior engineers, and matrixed stakeholders without direct authority.
Transformation & Portfolio Execution: Experience managing multiple concurrent architecture engagements, scaling architecture practices, and driving complex portfolio transformations.
Preferred Qualifications
Advanced Degree: Master’s degree in Business Administration (MBA), Computer Science, or a related field.
Transportation Sector Experience: Previous technology domain experience within Travel, Transportation, or Passenger Rail sectors.
Multi-Domain Architectural Breadth: Deep knowledge spanning Business Architecture, Solution Architecture, Infrastructure/Technical Architecture, and Information/Data Architecture.
Modern Tooling Mastery: Hands-on experience with DevSecOps pipelines, automated policy enforcement, software-defined networking, and AI-driven architecture workflows.
Enterprise Modernization & AI Enablement: Define and govern target-state enterprise architectures, technical standards, and multi-year roadmaps across hybrid cloud, infrastructure automation, analytics, asset management, and AI-enabled decision support systems.
AI & Intelligent Automation Architecture: Evaluate Generative AI, machine learning, and process automation use cases; translate complex business requirements into secure deployment architectures with robust data governance, access controls, auditability, and operational ownership.
Zero Trust & Security Architecture: Lead architectural direction for Zero Trust models, cloud networking, identity-aware access, and microsegmentation across on-premises and cloud environments, incorporating software-defined controls and automated policy enforcement.
Regulatory Governance & PCI Transformation: Conduct technical risk assessments and establish compliant architecture patterns aligned with PCI-DSS, NIST, ISO/IEC 27001, and Federal Railroad Administration (FRA) regulations.
Architecture Acceleration & AI Workflows: Apply AI-assisted prompt engineering and architecture workflows to accelerate technical documentation, risk analyses, business cases, and executive communications; establish reusable patterns for complex security and cloud concepts.
Cross-Functional Leadership & Coaching: Partner closely with peer architects (including Cloud Platform leads), engineering, and compliance teams to provide hands-on coaching, design walkthroughs, and reference implementations that scale internal technical capabilities.
Minimum Qualifications
Education & Experience: Bachelor’s degree in Computer Science, Data/Intelligence, or a related field with 13 years of relevant experience (or equivalent work experience).
Enterprise Scale: Proven track record of delivering significant business value realization for large-scale enterprise environments valued at $500M .
Architecture Practice Leadership: 9 years of technical/business experience, including 2 to 3 years embedded within a formal Enterprise Architecture Practice area.
AI & Security Architecture Mastery: Demonstrated experience designing architectures for AI/ML integration, Zero Trust, microsegmentation, and regulated payment (PCI-DSS) environments.
Stakeholder Influence & Communication: Outstanding ability to communicate complex concepts to C-suite leaders, senior engineers, and matrixed stakeholders without direct authority.
Transformation & Portfolio Execution: Experience managing multiple concurrent architecture engagements, scaling architecture practices, and driving complex portfolio transformations.
Preferred Qualifications
Advanced Degree: Master’s degree in Business Administration (MBA), Computer Science, or a related field.
Transportation Sector Experience: Previous technology domain experience within Travel, Transportation, or Passenger Rail sectors.
Multi-Domain Architectural Breadth: Deep knowledge spanning Business Architecture, Solution Architecture, Infrastructure/Technical Architecture, and Information/Data Architecture.
Modern Tooling Mastery: Hands-on experience with DevSecOps pipelines, automated policy enforcement, software-defined networking, and AI-driven architecture workflows.