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Cloud Engineer Ai Jobs (NOW HIRING)

Cloud Engineer

Roanoke, VA ยท Hybrid

$54.75 - $73/hr

Overview Empower AI is AI for government. Empower AI gives federal agency leaders the tools to ... Responsibilities The Cloud Engineer is a senior technical role responsible for architecting ...

Cloud Engineer

Radford, VA ยท Hybrid

$53 - $70.75/hr

Overview Empower AI is AI for government. Empower AI gives federal agency leaders the tools to ... Responsibilities The Cloud Engineer is a senior technical role responsible for architecting ...

Cloud Engineer

Montgomery, AL ยท Hybrid

$55.25 - $73.75/hr

Overview Empower AI is AI for government. Empower AI gives federal agency leaders the tools to ... Responsibilities The Cloud Engineer is a senior technical role responsible for architecting ...

Cloud Engineer

Richmond, VA ยท Hybrid

$55.25 - $73.75/hr

Overview Empower AI is AI for government. Empower AI gives federal agency leaders the tools to ... Responsibilities The Cloud Engineer is a senior technical role responsible for architecting ...

Cloud Engineer

Roanoke, VA ยท Hybrid

$54.75 - $73/hr

Overview Empower AI is AI for government. Empower AI gives federal agency leaders the tools to ... Responsibilities The Cloud Engineer is a senior technical role responsible for architecting ...

Cloud Engineer

Montgomery, AL ยท Hybrid

$55.25 - $73.75/hr

Overview Empower AI is AI for government. Empower AI gives federal agency leaders the tools to ... Responsibilities The Cloud Engineer is a senior technical role responsible for architecting ...

Cloud Engineer

Radford, VA ยท On-site

$53 - $70.75/hr

Overview Empower AI is AI for government. Empower AI gives federal agency leaders the tools to ... Responsibilities The Cloud Engineer is a senior technical role responsible for architecting ...

Cloud Engineer

Reston, VA ยท Hybrid

$58 - $77.50/hr

Overview Empower AI is AI for government. Empower AI gives federal agency leaders the tools to ... Responsibilities The Cloud Engineer is a senior technical role responsible for architecting ...

Cloud Engineer

Reston, VA ยท Hybrid

$58 - $77.50/hr

Overview Empower AI is AI for government. Empower AI gives federal agency leaders the tools to ... Responsibilities The Cloud Engineer is a senior technical role responsible for architecting ...

Cloud Engineer

Richmond, VA ยท Hybrid

$55.25 - $73.75/hr

Overview Empower AI is AI for government. Empower AI gives federal agency leaders the tools to ... Responsibilities The Cloud Engineer is a senior technical role responsible for architecting ...

Cloud Engineer

Charleston, WV ยท Hybrid

$54.25 - $72.50/hr

Overview Empower AI is AI for government. Empower AI gives federal agency leaders the tools to ... Responsibilities The Cloud Engineer is a senior technical role responsible for architecting ...

Cloud Engineer

Charleston, WV ยท Hybrid

$54.25 - $72.50/hr

Overview Empower AI is AI for government. Empower AI gives federal agency leaders the tools to ... Responsibilities The Cloud Engineer is a senior technical role responsible for architecting ...

Cloud Engineer

Lake Mary, FL ยท On-site

$48.75 - $65.25/hr

Cloud Engineer Work Location: Lake Mary FL or Pittsburgh PA Duration: Long Term Seeking an ... Experience with AI tools like Azure OpenAI, Document Intelligence, AI Search, Vertex, Gemini ...

Automation, AI & Cloud Operations * Drive Infrastructure as Code, platform automation, and self-service capabilities using modern cloud engineering practices. * Design and implement CI/CD, GitOps ...

Automation, AI & Cloud Operations * Drive Infrastructure as Code, platform automation, and self-service capabilities using modern cloud engineering practices. * Design and implement CI/CD, GitOps ...

Automation, AI & Cloud Operations * Drive Infrastructure as Code, platform automation, and self-service capabilities using modern cloud engineering practices. * Design and implement CI/CD, GitOps ...

Cloud Engineer

Los Angeles, CA ยท On-site

$128K - $298K/yr

... Cloud Engineer will design, build, and operate infrastructure and applications supporting UCLA ... This role focuses on enabling secure, scalable AI/ML and GenAI platforms , with an emphasis on ...

Azure OpenAI / AI Cloud Engineer

Houston, TX ยท On-site

$50.25 - $67.25/hr

We're seeking an Azure OpenAI / AI Cloud Engineer with deep experience in deploying, configuring, and managing Azure-based AI and ML services . The ideal candidate will have a strong background in ...

Cloud Engineer

Los Angeles, CA ยท On-site

$128K - $298K/yr

Description The Cloud Engineer will design, build, and operate infrastructure and applications ... This role focuses on enabling secure, scalable AI/ML and GenAI platforms, with an emphasis on ...

Showing results 21-40

Cloud Engineer Ai information

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How much do cloud engineer ai jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for cloud engineer ai in the United States is $62.89, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $71.63 per hour, depending on experience, location, and employer.

What is a cloud engineer AI?

A Cloud Engineer AI is a technology professional who specializes in building, deploying, and maintaining artificial intelligence (AI) solutions using cloud computing platforms. They integrate AI and machine learning models into cloud environments such as AWS, Azure, or Google Cloud, ensuring scalability, security, and efficiency. Their role often involves managing cloud infrastructure, automating workflows, and optimizing resources to support AI workloads. Cloud Engineer AIs collaborate with data scientists, developers, and IT teams to deliver robust AI-powered applications and services.

What are the key skills and qualifications needed to thrive as a cloud engineer AI, and why are they important?

To thrive as a Cloud Engineer AI, you need a strong background in cloud computing, AI/ML concepts, programming (Python, Java), and a relevant degree in computer science or related field. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, as well as AI/ML frameworks and certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer, is essential. Effective problem-solving, collaboration, and adaptability are crucial soft skills that help manage evolving technologies and cross-functional teamwork. These skills and qualifications ensure robust, scalable AI solutions are developed and maintained efficiently in cloud environments.

What are some common challenges cloud engineers specializing in AI face when deploying machine learning models in production environments?

Cloud Engineers focusing on AI often encounter challenges such as ensuring scalable infrastructure for demanding workloads, maintaining data security and compliance, and optimizing model performance in distributed systems. Managing resource allocation to balance cost and efficiency while deploying machine learning models can be complex, especially when dealing with large datasets and real-time processing. Additionally, close collaboration with data scientists and DevOps teams is essential to streamline model deployment and monitoring, making strong communication and cross-disciplinary skills valuable in this role.

How much do cloud engineer AI make?

The average salary for a Cloud Engineer specializing in AI ranges from $100,000 to $150,000 annually, depending on experience, certifications, and location. Skilled professionals with expertise in cloud platforms like AWS, Azure, or Google Cloud and knowledge of AI tools can earn higher salaries, especially in senior roles or specialized environments.

What does a cloud engineer AI do?

A cloud engineer AI designs, develops, and manages cloud-based infrastructure and AI solutions. They work with cloud platforms like AWS, Azure, or Google Cloud, and often utilize tools such as containerization and automation to deploy scalable AI applications. Strong knowledge of machine learning, programming, and cloud security is essential for this role.

Will AI take cloud engineer jobs?

AI is transforming cloud engineering by automating tasks such as infrastructure management, deployment, and monitoring. However, cloud engineers are needed to design, implement, and oversee AI-driven systems, making their expertise essential for integrating AI tools effectively into cloud environments.

What cities are hiring for Cloud Engineer Ai jobs?

Cities with the most Cloud Engineer Ai job openings:

What states have the most Cloud Engineer Ai jobs?

States with the most job openings for Cloud Engineer Ai jobs include:

What are popular job titles related to Cloud Engineer Ai jobs?

For Cloud Engineer Ai jobs, the most frequently searched job titles are:

Infographic showing various Cloud Engineer Ai job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $130,802 per year, or $62.9 per hour.

Cloud Engineer

Roanoke, VA โ€ข Hybrid

Empower AI Inc.
IT Servicesย โ€ขย 1 - 5K employees

$54.75 - $73/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 10 days ago


Job description

Overview

Empower AI is AI for government. Empower AI gives federal agency leaders the tools to elevate the potential of their workforce with a direct path for meaningful transformation. Headquartered in Reston, Va., Empower AI leverages three decades of experience solving complex challenges in Health, Defense, and Civilian missions. Our proven Empower AI Platform provides a practical, sustainable path for clients to achieve transformation that is true to who they are, what they do, how they work, with the resources they have. The result is a government workforce that is exponentially more creative and productive. For more information, visit www.Empower.ai.

Empower AI is proud to be recognized as a 2024 Military Friendly Employer by Viqtory, the publisher of G.I. Jobs. This designation reflects the company's commitment to hiring and supporting active-duty and veteran employees.

Responsibilities

The Cloud Engineer is a senior technical role responsible for architecting, implementing, and managing cloud infrastructure supporting U.S. Army IT managed services. This position bridges legacy on-premises environments with modern cloud-native architectures, ensuring secure, resilient, and cost-effective operations across a hybrid IT landscape.ย 

This is a remote-eligible position. Local candidates in the Roanoke and Radford, Virginia area are encouraged to apply, and work may be performed locally for those who preferย an on-site or hybrid arrangement. The ideal candidate will bring hands-on cloud engineering expertise, strong DoD cybersecurity compliance knowledge, and the ability to support mission-critical Army IT services across enterprise data centers and cloud-hosted environments.ย 

Program Backgroundย 

The supported organization is one of the longest-standing IT reimbursable Government-to-Government services providers within the United States Army, functioning as a full-spectrum IT managed service provider. The portfolio of services this role directly supports includes:ย 

  • Infrastructure Servicesย 
  • Platform Servicesย 
  • Managed Servicesย 
  • Common Servicesย 
  • Application Servicesย 
  • Cybersecurity Servicesย 

Services are delivered across Army Enterprise Data Centers (AEDCs) CONUS and OCONUS, as well as withinย cARMYย cloud enclaves hosted by commercial cloud service providers.ย 

Key Responsibilitiesย 

  • Design, deploy, and manage cloud infrastructure on FedRAMP-authorized platforms (AWS GovCloud, Microsoft Azure Government, Google Cloud for Government) supporting Army workloads.ย 
  • Lead technical execution of cloud migration efforts including workload assessment, lift-and-shift operations, re-platforming, and cloud-native refactoring.ย 
  • Support on-premises infrastructure environments including servers, storage, networking, and virtualization platforms (VMware, Hyper-V) as part of hybrid cloud operations.ย 
  • Develop and enforce cloud governance policies covering IAM, resource provisioning guardrails, tagging standards, and cost controls.ย 
  • Implement Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, Azure Bicep, or equivalent tools to automate provisioning and configuration management.ย 
  • Maintain high availability, disaster recovery (DR), and business continuity plans (BCP) for both cloud and data center environments.ย 
  • Oversee hybrid network connectivity including SD-WAN, AWS Direct Connect, Azure ExpressRoute, and VPN solutions between on-premises and cloud environments.ย 
  • Monitor infrastructure performance and security posture using tools such as CloudWatch, Azure Monitor, Splunk, or similar SIEM/observability platforms.ย 
  • Collaborate with cybersecurity teams to implement NIST 800-53 controls, continuous monitoring (ConMon), RMF processes, and FedRAMP compliance requirements.ย 
  • Support FinOps practices including cloud cost analysis, rightsizing recommendations, and budget reporting for reimbursable IT programs.ย 
  • Provide technical documentation including architecture diagrams, runbooks, migration playbooks, and system security plans (SSPs).ย 
  • Mentor junior engineers and contribute to workforce upskilling as the organization transitions to cloud-first operations.ย 
Qualifications

Required:

  • 5-8 years of hands-on cloud engineering experience, with demonstrated involvement in cloud migration or enterprise IT modernization programs.ย 
  • CompTIA Security+ CE certification - required (DoD 8570/8140 IAT Level II compliant).ย 
  • Active cloud certification required, such as: AWS Solutions Architect (Associate or Professional), Microsoft Azure Administrator or Solutions Architect, or Google Professional Cloud Architect.ย 
  • Active DoD Secret Clearance - required at time of hire.ย 
  • Experience on at least one FedRAMP-authorized cloud platform (AWS GovCloud, Azure Government, or Google Cloud for Government).ย 
  • Proficiency in Infrastructure as Code (Terraform, CloudFormation, Ansible, or equivalent).ย 
  • Strong understanding of networking fundamentals: BGP, VLANs, SD-WAN, firewall policy, and hybrid cloud connectivity.ย 
  • Experience with virtualization and container technologies including VMware, Kubernetes, and Docker.ย 
  • Knowledge of NIST SP 800-53, FISMA, RMF, and DoD cloud security requirements.ย 
  • U.S. Citizenship required.ย 
  • Bachelor's degree in Computer Science, Information Systems, Electrical Engineering, or a related technical field required. Relevant certifications and DoD cloud engineering experience may be considered in lieu of a portion of the education requirement.

Preferred Qualifications:

  • Familiarity withย cARMYย cloud enclaves or Army Enterprise Data Center (AEDC) environments.ย 
  • Experience with DISA STIGs, DoD Cloud Computing Security Requirements Guide (CC SRG), or IL4/IL5 authorization processes.ย 
  • Knowledge of cloud financial management (FinOps) practices in a government or reimbursable services context.ย 
  • Prior experience supporting data center decommissioning and asset retirement within a federal agency.ย 
  • Experience with Zero Trust Architecture (ZTA) principles and cloud-native security tooling (e.g., AWS Security Hub, Microsoft Defender for Cloud).ย 
  • Additional certifications such as CCNA, CISSP, or CompTIA Cloud+ are a plus.ย 

Work Location:ย 

This position is approved for remote work. Candidatesย located in orย near the Roanoke / Radford, Virginia areaย areย encouraged to apply and may perform work locally or on-site if preferred. Occasional travel to government facilities or data center locations may be required based on mission needs.ย 

What We Offer:ย 

  • Competitive compensation commensurate with DoD cloud engineering experience.ย 
  • Comprehensive benefits package including health, dental, vision, and retirement.ย 
  • Remote work flexibility with local on-siteย optionย for Roanoke / Radford area candidates.ย 
  • Certification reimbursement and professional development support.ย 
  • Opportunity to directly shape Army cloud-first infrastructure supporting critical national missions.ย 
About Empower AI

All hiring and promotion decisions at Empower AI are based on merit to bring the best talent available to contribute to our firm's overall success. It is the policy of Empower AI not to discriminate against any applicant for employment, or employee because of age, color, sex, disability, national origin, race, religion, or veteran status. Empower AI is a VEVRAA Federal Contractor.

If hired for this position, the base salary range would be within the range provided. The base salary range represents the anticipated low and high end of the salary range for this position. Actual salaries may vary based on various factors including but not limited to work location, skills, experience, gov con contractual requirements, and performance. The range listed is just one component of Empower AI's total compensation package for employees.

Pay Band MinUSD $127,840.00/Yr.Pay Band MaxUSD $197,870.00/Yr.Employment Type: FULL_TIME