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Ai Services Jobs (NOW HIRING)

Amazon

Sr. UX Manager, AI Services

San Francisco, CA

$137K/yr

AWS AI Services is hiring a Sr. UX Design Manager to lead the design team responsible for Amazon Bedrock and the broader AWS AI/ML portfolio. Amazon Bedrock/Mantle is the fastest-growing service in ...

AHEAD

Senior AI Engineer, AI Services

Charleston, WV · Remote

$200K - $250K/yr

AHEAD is seeking a Senior AI Engineer, AI Services to help design, build, and deploy enterprise-grade AI solutions for our clients. This is a hands-on technical consulting role for someone who can ...

Amazon

UX Designer, AI Services

East Palo Alto, CA · On-site

AWS AI Services is hiring a UX Designer II to work on Amazon Bedrock, the fastest-growing service in AWS history. Amazon Bedrock is a generative AI platform that gives customers a unified API to ...

Amazon

UX Designer, AI Services

East Palo Alto, CA

AWS AI Services is hiring a UX Designer II to work on Amazon Bedrock, the fastest-growing service in AWS history. Amazon Bedrock is a generative AI platform that gives customers a unified API to ...

AHEAD

Senior AI Engineer, AI Services

$200K - $250K/yr

... AI usage. * Embed monitoring, lineage, PII handling, and policy constraints into agentic flows ... AWS services). * Experience with vector DBs and retrieval pipelines (Pinecone, pgvector ...

Amazon

Sr. UX Manager, AI Services

San Francisco, CA · On-site

$137K/yr

AWS AI Services is hiring a Sr. UX Design Manager to lead the design team responsible for Amazon Bedrock and the broader AWS AI/ML portfolio. Amazon Bedrock/Mantle is the fastest-growing service in ...

TaskUs

Director, Business Development (AI Services)

What can you expect in a Director, Business Development (AI Services) r ole with TaskUs: As a strategic driver of TaskUs's expansion, you will spearhead growth within the U.S. AI ecosystem by acting ...

TaskUs

Director, Business Development (AI Services)

What can you expect in a Director, Business Development (AI Services) r ole with TaskUs: As a strategic driver of TaskUs's expansion, you will spearhead growth within the U.S. AI ecosystem by acting ...

University of Connecticut

AI Administrator

Storrs, CT · On-site

Manage AI service lifecycle activities, including platform onboarding, configuration changes, release updates, service health monitoring, incident coordination, vendor escalations, and operational ...

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Ai Services information

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$17

$35

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How much do ai services jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for ai services in the United States is $35.91, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $58.89 per hour, depending on experience, location, and employer.

What are AI services?

AI services refer to a range of tools, platforms, and solutions that use artificial intelligence technologies to automate tasks, analyze data, and support decision-making for businesses and individuals. These services can include natural language processing, computer vision, machine learning models, chatbots, and more, often delivered via cloud platforms. AI services help organizations enhance efficiency, personalize experiences, and gain insights from large datasets. Popular providers of AI services include companies like Google Cloud, Microsoft Azure, and Amazon Web Services.

What are the key skills and qualifications needed to thrive in an AI services role?

To thrive in an AI Services role, you typically need a strong background in computer science, mathematics, or engineering, along with proven experience in machine learning and data analysis. Familiarity with programming languages such as Python, AI frameworks like TensorFlow or PyTorch, and cloud platforms (e.g., AWS, Google Cloud) is commonly required, and relevant certifications can be advantageous. Outstanding problem-solving abilities, communication, and the capacity to collaborate with multidisciplinary teams are highly valuable soft skills. These competencies enable professionals to design effective AI solutions, communicate insights clearly, and drive business value in a rapidly evolving field.

How do professionals in AI services typically collaborate with cross-functional teams to deploy AI solutions?

In AI Services roles, collaboration with cross-functional teams—such as product managers, data engineers, and business stakeholders—is essential for successfully deploying AI solutions. Professionals are often involved in translating business requirements into technical specifications, iterating on model development with data teams, and coordinating with IT or DevOps to integrate models into production systems. This collaborative approach helps ensure that AI implementations are effective, scalable, and aligned with organizational goals. Regular meetings, clear communication, and agile workflows are common practices to facilitate this teamwork.

What is the difference between Ai Services vs Data Analysts?

AspectAi ServicesData Analysts
Required CredentialsTypically certifications in AI, machine learning, or data science; sometimes a degree in computer science or related fieldsOften a degree in statistics, mathematics, or data analysis; certifications in data tools are common
Work EnvironmentTech companies, AI development firms, or departments focusing on AI solutionsBusiness, finance, healthcare, and other industries analyzing data to inform decisions
Employer & Industry UsageUsed in AI product development, automation, and machine learning projectsUsed across industries for data interpretation, reporting, and strategic insights

While Ai Services focus on developing and implementing AI solutions, Data Analysts interpret data to support business decisions. Both roles require analytical skills, but Ai Services emphasize AI technologies and programming, whereas Data Analysts focus on data interpretation and reporting.

What is the easiest AI Services job to get?

Entry-level AI services roles such as data labeling, annotation, or basic AI support jobs are generally the easiest to obtain, often requiring minimal prior experience and offering on-the-job training. Skills in basic computer use, understanding of AI concepts, and familiarity with annotation tools can improve chances of entry into these positions.

What jobs can I get working with AI services?

Jobs related to AI services include roles such as AI engineer, machine learning engineer, data scientist, AI researcher, and AI product manager. These positions typically require skills in programming, data analysis, and understanding of AI frameworks like TensorFlow or PyTorch, often with relevant certifications or degrees in computer science or related fields.

What jobs can you get in AI?

Jobs in AI include roles such as AI engineer, machine learning engineer, data scientist, NLP engineer, and AI researcher. These positions typically require skills in programming, data analysis, and understanding of algorithms, with familiarity in tools like Python, TensorFlow, or PyTorch. Certifications in AI or data science can enhance job prospects in this field.
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Ai Services jobs near you
Infographic showing various Ai Services job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $74,696 per year, or $35.9 per hour.

Staff AI Engineer - Zoom AI Services Platform

Zoom Video Communications

Seattle, WA • On-site

$387K/yr

Other

Posted 20 days ago

Job description

What You Can Expect
You'll design, build, and own the platform that powers Zoom AI Services, enabling AI capabilities to be delivered as scalable cloud services for both Zoom products and external developers. You'll work across API design, distributed systems, cloud infrastructure, and AI platform engineering to build reliable, high-performance services that power speech, translation, summarization, reasoning, and future AI capabilities at production scale.
About the Team
You will join the Zoom AI Services team responsible for building Zoom's unified AI platform. The team develops the cloud platform, APIs, and infrastructure that enable AI capabilities to be shared across Zoom products while exposing the same services to enterprise customers and developers. We work closely with AI modeling teams, Zoom Cloud Platform, and product engineering teams to deliver scalable, reliable, and cost-efficient AI services.
Responsibilities
  • Design and build large-scale cloud services powering Zoom AI APIs and developer platform.
  • Design reusable APIs, service abstractions, and platform components for AI capabilities.
  • Build distributed systems supporting synchronous, asynchronous, and streaming AI workloads.
  • Improve scalability, reliability, observability, and operational efficiency of AI services.
  • Design scheduling, resource management, and workload orchestration for large-scale CPU and GPU infrastructure.
  • Partner closely with AI modeling, platform, and product teams to onboard new AI capabilities onto the Zoom AI Services platform.
  • Drive technical architecture and engineering best practices across the team.

What We're Looking For
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience.
  • 8+ years of software engineering experience building distributed systems, cloud platforms, or large-scale backend services.
  • Experience building and operating production AI services such as Speech Recognition (ASR), Machine Translation (MT), LLM applications, AI Agents, Search, Document Intelligence, Computer Vision, or similar AI-powered cloud services.
  • Strong experience designing and operating large-scale cloud services, including microservices, service-oriented architectures, and multi-tenant platforms.
  • Experience designing developer-facing APIs, SDKs, or cloud platform services with a strong API-first mindset.
  • Strong understanding of Kubernetes, containers, distributed systems, networking, and cloud-native technologies.
  • Experience building highly available, scalable, and observable production systems running at cloud scale.
  • Experience working with AI infrastructure, including model serving, AI inference platforms, GPU/CPU resource management, or ML infrastructure.
  • Strong programming skills in Go, Java, C++, Python, or similar languages.
  • Excellent system design, technical leadership, and cross-functional collaboration skills, with the ability to drive architecture across multiple engineering teams.

Preferred
  • Experience with one or more major cloud platforms (AWS, Azure, or Google Cloud Platform).
  • Experience optimizing large-scale AI workloads for performance, scalability, reliability, or cost.
  • Experience contributing to AI platforms serving both internal products and external developers.
  • Experience with open-source AI infrastructure such as Kubernetes, Istio, vLLM, Triton, SGLang, Ray, or similar technologies.

Salary Range or On Target Earnings:
Minimum:
$177,100.00
Maximum:
$387,500.00
In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.
We also have a location based compensation structure; there may be a different range for candidates in this and other locations.
Ways of Working
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.
Benefits
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information.
About Us
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
We're problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
Our Commitment
At Zoom, we believe great work happens when people feel supported and empowered. We're committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know-we're here to support you at every step.
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.
Think of this opportunity as a marathon, not a sprint! We're building a strong team at Zoom, and we're looking for talented individuals to join us for the long haul. No need to rush your application - take your time to ensure it's a good fit for your career goals. We continuously review applications, so submit yours whenever you're ready to take the next step.
Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement for more information of how we use your data.

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