Cloud and AI Platform Architect

Healthesystems

Cloud and AI Platform Architect providing enterprise-level technical leadership for Healthesystems. Guiding cloud transformation, infrastructure optimization, and AI enablement initiatives.

Posted 7/22/2026full-timeRemote • Alabama, Arizona, Colorado, Florida, Idaho, Louisiana, Maryland, Mississippi, Montana, North Carolina, Ohio, Oklahoma, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia • 🇺🇸 United StatesSeniorLead💰 $136,600 - $187,770 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in cloud architecture and governance, with a strong focus on AI platform design and implementation. Proven ability to lead change initiatives and collaborate effectively with stakeholders to optimize cloud and infrastructure solutions.

Highest-signal resume keywords

Cloud Architecture DevelopmentAI Platform ArchitectureInfrastructure Solutions DesignCloud Governance StandardsChange Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud Strategy AdoptionInfrastructure DesignAI Governance ConceptsEvent-Driven IntegrationAPI ManagementInfrastructure-As-CodeDevSecOps PracticesModel Integration PatternsAgent-Based ArchitecturesSecure Cloud-Native Design

Soft Skills

CollaborationConflict ResolutionChange Management

Tools & Technologies

Microsoft AzureIaaSPaaSLinuxCiscoMiddlewareDatabase Management SystemsCloud AI ServicesAPI GatewaysService Mesh Concepts

Industry Keywords

HealthcareWorkers' CompensationCloud ProvidersVirtualizationInfrastructure Domains

Tech Stack

Tools & technologies

CloudJavaLinux

About the role

Key responsibilities & impact

Lead culture of change for cloud adoption
Develop and coordinate the cloud architecture
Refine and coordinate the adoption of the Cloud Strategy
Collaborate with stakeholders to move from traditional infrastructure vendors toward cloud providers
Partner with EA and other stakeholders to create governance for on-prem and cloud infrastructure
Collaborate with architecture, SMEs, and stakeholders to evaluate, design, and validate cloud and infrastructure architectures
Define and guide the enterprise AI platform and ecosystem architecture
Establish architecture standards and governance guardrails for responsible AI adoption
Drive sustainable cloud and infrastructure cost optimization

Requirements

What you’ll need

Bachelor’s degree plus a minimum of seven to ten years’ relevant work experience or equivalent combination of education and experience.
Experienced in leading and implementing the design and delivery of infrastructure solutions.
Experience in Healthcare and knowledge of Workers’ Compensation industry is a plus.
Experience designing or establishing enterprise AI platforms, AI infrastructure, agent-based architectures, model integration patterns, or AI-enabled application ecosystems is strongly preferred.
EA or I&O background with hands-on experience in cloud (Public/Private/Hybrid), virtualization, infrastructure domains, and development.
Demonstrated understanding of AI platform architecture, AI governance concepts, agent gateways or orchestration patterns, model deployment considerations, prompt and context management concepts, API management, event-driven integration, observability, and secure cloud-native design.
Proven experience working with project teams in an influential role to deliver enabling solutions based on business requirements, technology standards, service level agreements and approved funding.
Must have experience in identifying and implementing sound design patterns and capable of leading and facilitating design and modeling workshops with both business and technical team members.
Must be comfortable with change, close collaboration, and have conflict resolution skills.
Preferred background with strong hands-on expertise working with Microsoft, IaaS, PaaS, Linux, Cisco, storage, security, middleware, database management systems, Java, and public and private cloud.
Preferred experience with cloud AI services, enterprise integration platforms, API gateways, service mesh concepts, infrastructure-as-code, DevSecOps practices, identity and access management, secrets management, data protection controls, and platform observability.

Benefits

Comp & perks

healthcare coverage
PTO
paid holidays
401(k)
company-provided life insurance/disability coverage
wellness options