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Cloud Ai Support Jobs (NOW HIRING)

Cognition

AI Support Engineer

New York, NY · On-site

As an AI Support Engineer, you will be responsible for resolving complex technical issues for ... Working knowledge of Linux, Docker, Git, CI/CD pipelines, cloud platforms such as AWS/GCP/Azure ...

PGTEK

Lead Cloud AI Engineer - Travel role

Washington, DC · On-site

$120K - $150K/yr

... solutions supporting U.S. Federal Government agencies. As we expand our Google Cloud and AI ... practice, we're seeking a Lead Cloud AI Engineer to serve as the senior technical authority for ...

Zebra-Technologies

Cloud AI Engineer, Lead

Lincolnshire, IL · On-site

$58.75 - $78.50/hr

The Cloud AI Engineer, Lead plays a critical role in driving innovation across Zebra's IT Platform ... and/or supporting cloud based Infrastructure.Hands-on Google Gemini Enterprise Expertise:

PGTEK

Lead Cloud AI Engineer - Travel role

Tampa, FL · On-site

$120K - $150K/yr

... solutions supporting U.S. Federal Government agencies. As we expand our Google Cloud and AI ... practice, we're seeking a Lead Cloud AI Engineer to serve as the senior technical authority for ...

RXinsider LTD.

Cloud AI Engineer, Lead

Lincolnshire, IL · On-site

$58.75 - $78.50/hr

What We're Looking For The Cloud AI Engineer, Lead plays a critical role in driving innovation ... supporting cloud based Infrastructure. * Hands‑on Google Gemini Enterprise Expertise:

PGTEK

Lead Cloud AI Engineer - Travel role

Tampa, FL

$120K - $150K/yr

... solutions supporting U.S. Federal Government agencies. As we expand our Google Cloud and AI ... practice, we're seeking a Lead Cloud AI Engineer to serve as the senior technical authority for ...

PGTEK

Lead Cloud AI Engineer - Travel role

New York, NY

$120K - $150K/yr

... solutions supporting U.S. Federal Government agencies. As we expand our Google Cloud and AI ... practice, we're seeking a Lead Cloud AI Engineer to serve as the senior technical authority for ...

PGTEK

Lead Cloud AI Engineer - Travel role

Washington, DC · On-site

$120K - $150K/yr

... solutions supporting U.S. Federal Government agencies. As we expand our Google Cloud and AI ... practice, we're seeking a Lead Cloud AI Engineer to serve as the senior technical authority for ...

PGTEK

Lead Cloud AI Engineer - Travel role

San Antonio, TX · On-site

$120K - $150K/yr

... solutions supporting U.S. Federal Government agencies. As we expand our Google Cloud and AI ... practice, we're seeking a Lead Cloud AI Engineer to serve as the senior technical authority for ...

PGTEK

Lead Cloud AI Engineer - Travel role

Tampa, FL · On-site

$120K - $150K/yr

... solutions supporting U.S. Federal Government agencies. As we expand our Google Cloud and AI ... practice, we're seeking a Lead Cloud AI Engineer to serve as the senior technical authority for ...

Zebra Technologies

Cloud AI Engineer, Lead

Holtsville, NY · Hybrid

$56.50 - $75.75/hr

The Cloud AI Engineer, Lead plays a critical role in driving innovation across Zebra's IT Platform ... or supporting cloud based Infrastructure. * Hands-on Google Gemini Enterprise Expertise:

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How much do cloud ai support jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for cloud ai support 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.

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Infographic showing various Cloud Ai Support job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $130,802 per year, or $62.9 per hour.

AI Support Engineer

New York, NY • On-site

Cognition
1 - 10 employees
Learn more about Cognitionexternal

Full-time

Re-posted yesterday

Job description

We are an applied AI lab building end-to-end software agents.
We're the makers of Devin, the first AI software engineer.
Our team is extremely talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.
Building Devin is just the first step-our hardest challenges still lie ahead. If you're excited to solve some of the world's biggest problems and build AI that can reason on real-world tasks, apply to join us.
About the Role
Cognition is building the AI software engineer of the future. As an AI Support Engineer, you will be responsible for resolving complex technical issues for customers using Devin and Windsurf in real-world development environments.
This role goes well beyond basic support. You will investigate ambiguous, environment-specific problems across codebases, infrastructure, developer tooling, CI/CD systems, APIs, containers, and cloud platforms. You will reproduce bugs, analyze logs, trace failures, form root-cause hypotheses, and drive issues to resolution quickly and rigorously.
We are looking for someone with strong debugging instincts, broad systems knowledge, and the ability to operate with urgency across a high volume of technical issues. You should be comfortable context-switching across problem domains, communicating clearly with customers, and partnering closely with engineering when deeper product investigation is required.
This is a unique opportunity to work at the frontier of AI-assisted software development, with real customers relying on the product every day.
Responsibilities
  • Investigate, reproduce, and diagnose complex customer issues across diverse development environments, including cloud infrastructure, CI/CD systems, APIs, containers, version control, IDEs, and enterprise deployment setups.
  • Perform root-cause analysis by reading logs, tracing code paths, correlating system behavior, forming hypotheses, and isolating failures.
  • Resolve a high volume of incoming technical issues while maintaining strong investigation quality and clear customer communication.
  • Escalate product or infrastructure issues to engineering with complete technical context, including reproduction steps, logs, environment details, and root-cause hypotheses.
  • Educate customers on best practices, workarounds, deployment patterns, and product capabilities to improve adoption and reduce recurring issues.
  • Build internal playbooks, tooling, automations, and documentation that make future investigations faster and more systematic.
  • Identify recurring failure modes and share actionable feedback with product, engineering, and deployment teams.
  • Support release testing and quality efforts across the range of environments, languages, IDEs, and workflows our customers use.
Qualifications
  • 4+ years of experience in a technical role such as software engineering, infrastructure engineering, solutions engineering, technical support engineering, or developer tooling.
  • Bachelor's degree or higher in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
  • Working knowledge of Linux, Docker, Git, CI/CD pipelines, cloud platforms such as AWS/GCP/Azure, and networking fundamentals.
  • Demonstrated ability to reproduce, isolate, and debug technical issues from incomplete or ambiguous reports.
  • Experience analyzing logs, traces, errors, and system behavior across distributed or multi-component systems.
  • Strong ability to read and reason about code in multiple languages, such as Python, TypeScript, Java, Go, or similar.
  • Strong written communication skills, especially when explaining technical findings to customers and internal engineering teams.
  • Ability to operate with urgency in a fast-paced environment while managing a steady stream of incoming issues.
  • Passion for AI, developer tools, and the future of software engineering.
Nice to Have
  • Experience building internal tools, scripts, or automations to accelerate debugging, support, or QA workflows.
  • Familiarity with LLMs, AI-assisted development tools, IDEs, or developer productivity platforms.
  • Experience in high-volume technical support or customer engineering environments.
  • Experience debugging issues that span multiple layers of the stack, such as application logic, infrastructure, authentication, third-party APIs, networking, or deployment configuration.
  • Prior experience working directly with engineering teams to escalate, diagnose, and resolve product issues.
Equal Opportunity
Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.

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