Healthesystems logo
Healthesystems

Healthesystems is a specialty provider of innovative medical cost management solutions for workers’ comp industry.

Cloud and AI Platform Architect

Cloud EngineerCloud EngineerFull TimeRemoteLeadTeam 201-500H1B No SponsorCompany SiteLinkedIn

Location

Alabama + 17 moreAll locations: Alabama | Arizona | Colorado | Florida | Idaho | Louisiana | North Carolina | Ohio | Oklahoma | Maryland | Mississippi | Missouri | Pennsylvania | South Carolina | Tennessee | Texas | Utah | Virginia

Posted

7 days ago

Salary

$136.6K - $187.8K / year

Seniority

Lead

Bachelor Degree7 yrs expExperience acceptedEnglishCloudJavaLinux

Job Description

Cloud and AI Platform Architect

Healthesystems

• 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

Job Requirements

  • 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

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

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