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Cloud Engineer Ai Jobs (NOW HIRING)

AI Cloud Engineer

Globe, AZ · On-site

$53 - $70.75/hr

AI Cloud Engineer experienced in cloud platforms, primarily Google Cloud Platform (GCP) and Amazon Web Services (AWS), with a solid foundation in Terraform and infrastructure automation. You will ...

GCP / AI Cloud Engineer

Sunnyvale, CA · Remote

$60K - $120K/yr

Secret Security Clearance Required About the Role We are seeking a GCP AI / Cloud Engineer with hands-on experience in Google Cloud Platform, Infrastructure as Code, and Generative AI technologies.

AI Cloud Engineer

$57 - $76.25/hr

They are seeking an AI Cloud Engineer to modernize and scale cloud infrastructure through automation and DevOps best practices while leveraging AI technologies to improve operational efficiency.

Cloud Engineer

Washington, DC · On-site

$63 - $84.25/hr

Overview BigBear.ai is seeking a Cloud Engineering / DevSecOps Technical Lead to support a federal client's mission to accelerate the discovery and delivery of identity- and network-based ...

AI Cloud Engineer

$57 - $76.25/hr

They are seeking an AI Cloud Engineer to modernize and scale cloud infrastructure through automation, DevOps best practices, and AI-driven operational improvements. Responsibilities : • Design ...

Overview BigBear.ai is seeking a Cloud Engineering / DevSecOps Technical Lead to support a federal client's mission to accelerate the discovery and delivery of identity- and network-based ...

AI Cloud Engineer

Chicago, IL · Remote

$57.50 - $76.75/hr

THE ROLE Our client is seeking an AI Cloud Engineer to help modernize and scale cloud infrastructure through automation, DevOps best practices, and AI-driven operational improvements. This individual ...

AI Cloud Engineer

Elk Grove Village, IL · Remote

$55 - $73.50/hr

THE ROLE Our client is seeking an AI Cloud Engineer to help modernize and scale cloud infrastructure through automation, DevOps best practices, and AI-driven operational improvements. This individual ...

AI Cloud Engineer

Chicago, IL · On-site

$57.50 - $76.75/hr

THE ROLE Our client is seeking an AI Cloud Engineer to help modernize and scale cloud infrastructure through automation, DevOps best practices, and AI-driven operational improvements. This individual ...

AI Cloud Engineer

Elk Grove Village, IL · Remote

$55 - $73.50/hr

THE ROLE Our client is seeking an AI Cloud Engineer to help modernize and scale cloud infrastructure through automation, DevOps best practices, and AI-driven operational improvements. This individual ...

Cloud Engineer

Radford, VA · 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 ...

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Cloud Engineer Ai information

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How much do cloud engineer ai jobs pay per hour?

As of Sep 9, 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, 76% Full Time, 19% Part Time, and 4% 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.

Senior IT Cloud Engineer - AI Driven Operations & Platform Engineering

Denver, CO • On-site

Prologis
Real Estate • 1 - 5K employees

$125 - $150/hr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago


Job description

Senior IT Cloud Engineer – AI Driven Operations & Platform EngineeringSkip to main contentThis site uses cookies for enhanced user experience. Some cookies are necessary to ensure the proper functioning of our website while other cookies allow us to improve your experience of our website through statistical analytics and tailored advertising. If you do not accept all cookies, only the necessary cookies shall remain to ensure the continued and proper functioning of the website. Cookie Policy#Senior IT Cloud Engineer – AI Driven Operations & Platform Engineering page is loaded## Senior IT Cloud Engineer – AI Driven Operations & Platform EngineeringApplylocations: Denver, Coloradotime type: Full timeposted on: Posted 20 Days Agotime left to apply: End Date: September 23, 2026 (30+ days left to apply)job requisition id: R6643At Prologis, we don’t just lead the industry—we define it with a 1.3 billion square foot portfolio and an annual throughput of approximately $3.2 trillion. We create the intelligent infrastructure that powers global commerce, seamlessly connecting the digital and physical worlds. From agile supply chains to energy solutions, our ecosystems help your business move faster, operate smarter and grow sustainably. With unmatched scale, innovation and expertise, Prologis is a category of one—not just shaping the future of logistics but building what comes next.**Job Title:**Senior IT Cloud Engineer – AI Driven Operations & Platform Engineering**Company:**Prologis## A day in the lifeThis role helps Cloud and Systems Engineering modernize enterprise operations by redesigning repetitive workflows into reliable automation, self-service capabilities, and AI-assisted operating patterns. They will work across cloud infrastructure, systems administration, identity, endpoints, networking, and end-user computing to improve reliability, speed, and engineering leverage. The role partners with engineering teams to evaluate where agentic automation, deterministic automation, or human-in-the-loop controls are the right fit for enterprise-scale operations. They will introduce standards, reusable components, and measurement practices that reduce manual requests and improve operational outcomes across the broader technology estate.## Key responsibilities include:* Redesign high-friction operational workflows using AI, automation, and platform engineering patterns that reduce manual work and improve reliability.* Build agentic and event-driven workflows for provisioning, remediation, change execution, incident support, and support deflection with appropriate safety controls.* Establish standards for safe AI use in cloud operations, including observability, human-in-the-loop controls, auditability, and rollback practices.* Design and deliver self-service infrastructure capabilities using standardized modules, golden paths, reusable components, code, APIs, and internal platforms.* Design, operate, and troubleshoot AWS and Azure infrastructure using infrastructure-as-code, serverless, event-driven, and cloud-native architectures.* Automate identity, access, endpoint, and end-user computing workflows across systems such as Entra ID, Intune, SAML/OAuth, Cognito, and AWS WorkSpaces.* Influence engineering teams by introducing new patterns, standards, operating model improvements, and metrics that communicate the impact of automation and AI adoption.## Building blocks for success## Required:* Experience designing and operating infrastructure across AWS and Azure.* Experience with AWS services such as EC2, Lambda, RDS, S3, DynamoDB, and IAM.* Experience using infrastructure-as-code, including Terraform or CloudFormation.* Experience building or supporting CI/CD pipelines, such as Azure DevOps or similar platforms.* Proficiency with Python scripting or programming.* Ability to troubleshoot complex issues across cloud, networking, identity, APIs, and distributed systems.* Experience with identity and endpoint management systems, including SAML, OAuth, Entra ID or Azure AD, and Intune.* Experience designing or building AI-assisted or agentic workflows for engineering or operational use cases.* Ability to evaluate when AI, deterministic automation, or combined approaches are appropriate for safe enterprise operations.* Experience applying Git workflows, including branching, pull requests, and code review.## Preferred:* 7+ years of experience in infrastructure, DevOps, cloud engineering, or platform engineering.* Experience with Bash or PowerShell.* Experience with agentic AI frameworks, LLM orchestration, or AI-driven workflow tools such as OpenAI Agents SDK, LangChain, n8n, or MCP.* Experience with internal developer platforms, self-service tooling, or platform engineering practices.* Experience with ServiceNow or similar ITSM/workflow platforms.* Demonstrates willingness and capability to leverage emerging technology, automation, and AI tools to improve efficiency, quality, and speed. Exercises sound judgment, creative thinking, and accountability for outcomes.Hiring Salary Range of: $121,000 - $159,000. Salary and whole compensation package (bonus target & LTI (Long Term Incentives)) to be determined by the candidate’s location, education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.#LI-TA1**People First**Each of us working at Prologis plays an essential role in the enduring success of our company. We value people who are decisive, courageous and adaptable. While we are one company, locations and departments operate with autonomy and accountability. **Individuals take the initiative here.**When you join Prologis, you work shoulder to shoulder with some of the top talent in the industry to do the best work of your career. Every employee belongs. Every employee contributes. **Employees advance their careers here.**As a successful global enterprise, Prologis has never lost sight of what matters most, our strong belief that our people are the most important part of our business. And because of that, we provide a generous total rewards package and take a lot of time to focus on quality management and leadership development. **People come first here.**All full-time roles in the US come with a robust benefits package which includes healthcare, dental, and vision insurance for employees and eligible dependents. Prologis also offers several other wellness, financial, and work/lifestyle-specific benefits. Our 401(k) retirement plan has a company match of 50% up to 12% of eligible compensation. We also offer generous PTO with a starting accrual of 22 days a year in addition to paid holidays and volunteer time. All job offers are contingent upon successful completion of background verification. Prologis is an Equal Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religions, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.**Employment Type:**Full time**Location:**Denver, Colorado #J-18808-Ljbffr

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About Prologis

Sourced by ZipRecruiter

Prologis is a global leader in logistics real estate, specializing in the development, ownership, and management of high-quality industrial properties. With a vast portfolio of distribution centers, warehouses, and logistics facilities, Prologis plays a crucial role in supporting the global supply chain and enabling efficient commerce. As the world's largest owner of logistics real estate, Prologis provides state-of-the-art facilities strategically located in key logistics hubs across the globe. Prologis properties are designed to meet the evolving needs of e-commerce, retail, manufacturing, and logistics companies, offering modern amenities, advanced technology, and sustainable features.

Industry

Real estate

Company size

1,001 - 5,000 Employees

Headquarters location

San Francisco, CA, US

Year founded

1983

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