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Ai Services Jobs (NOW HIRING)

BilgeAdam Technologies GmbH

NY · On-site

$120 - $180/hr

Ensure reliability, performance, and cost efficiency of AI services in production telco environments. Overview Role focuses on maintaining reliability and performance of AI services in production ...

New

BigBear.ai

Software Engineer (AI Infrastructure)

Columbia, MD · On-site

$170K - $201K/yr

Support the development and maintenance of production AI services and applications, including retrieval augmented generation (RAG), autonomous agents, and emerging technologies * Navigate ambiguity ...

Tata Consultancy Service Limited

AI Architect

Irving, TX · On-site

$150K - $201K/yr

Must Have Technical/Functional Skills • Must Have: • Azure ML, Azure OpenAI, Cognitive Services ... Architect enterprise AI platforms using Azure AI Foundry, Agent Services, APIs, and modern data ...

Usalco

AI Platform Engineer

Responsibilities : • Design, develop, and maintain reusable AI platform services and infrastructure components that support enterprise AI initiatives and customer-facing digital platforms ...

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Ai Services information

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How much do ai services jobs pay per hour?

As of Aug 7, 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 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, and may involve tasks like developing algorithms, training models, and deploying AI solutions.

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.

What is the easiest AI Services job to get?

Entry-level AI services roles such as data labeling, annotation, or basic AI support positions 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 relevant tools like annotation platforms can improve chances of entry. These roles typically have lower barriers to entry compared to specialized AI development or engineering positions.

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 jobs can you get in AI services?

Jobs in 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 advanced degrees. Opportunities exist in industries like technology, healthcare, finance, and automotive, with work environments ranging from startups to large corporations.
More about Ai Services jobs
What cities are hiring for Ai Services jobs? Cities with the most Ai Services job openings:
What states have the most Ai Services jobs? States with the most job openings for Ai Services jobs include:
What job categories do people searching Ai Services jobs look for? The top searched job categories for Ai Services jobs are:
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, 77% Full Time, 17% Part Time, 1% Temporary, 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.

Senior Manager, Digital and AI Services

Southern California Edison (SCE)

Rosemead, CA • On-site

$182K - $274K/yr

Full-time

Re-posted 18 hours ago

Job description

Join the Clean Energy Revolution
Become a Senior Manager, Digital and AI Services at Southern California Edison (SCE) and build a better tomorrow. In this job, you'll lead enterprise digital engineering, automation, low-code, DevOps, mobile, and AI-enabled technology platforms that enable secure, scalable, and efficient delivery of business capabilities across the organization. Drive platform strategy, operational excellence, governance, and continuous improvement while partnering with business, technology, cybersecurity, and vendor teams to deliver innovative solutions that improve reliability, productivity, and business outcomes.
As a Senior Manager, Digital and AI Services, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us build the future?
Responsibilities
  • Presents business case justifications, and cost and benefit analyses for IT spending and initiatives.
  • Steers the implementation of solutions that include software packages and custom applications, across a variety of current and future systems environments.
  • Oversees project plans and resource loading plans, following solid project management principles.
  • Materializes outcomes for department strategies, visions, and objectives and turn them into effectively implemented tactical plans.
  • Drives roadmaps being created, maintained, and executed to keep systems patched and updated for their area of responsibility.
  • Drives long-range strategy and policy development to address complex business issues and provide leadership to cross-functional teams.
  • Introduces innovative technologies, methodologies and industry trends and looks for methods to leverage and benchmark them to improve current systems.
  • Develops, implements, and monitors software development policies and controls to ensure data accuracy, security, and legal and regulatory compliance.
  • Collaborates with various business stakeholders to define business requirements for technology implementations across departments.
  • Directs the analysis, design, implementation, deployment and ongoing support of application solutions; responsible for the full range of life cycle activities.
  • A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity.

Minimum Qualifications
  • Five or more years of experience supervising a team of direct reports and/or project management. Experience in leading applications portfolio management.
  • Experienced with IT portfolio management.

Preferred Qualifications
  • Bachelor's degree in computer science, Information Systems, Engineering, Business, or related field.
  • Experience leading digital engineering, automation, DevOps, AI, or enterprise technology teams.
  • Experience managing technology platforms, products, or shared services using agile or product-based delivery models.
  • Experience with automation, low-code, workflow, or digital development platforms, including Microsoft technologies.
  • Experience with software engineering and DevOps practices, including CI/CD, testing, release management, and code quality.
  • Experience implementing AI-enabled solutions, digital assistants, intelligent automation, or generative AI technologies.
  • Experience operating enterprise platforms with a focus on reliability, scalability, security, and operational excellence.
  • Experience leading platform engineering, application development, mobile, or digital workplace initiatives.
  • Experience establishing technology governance, standards, operating models, and best practices.
  • Experience managing vendor relationships, managed service providers, and technology contracts.
  • Experience delivering business value through automation, process improvement, digital transformation, or AI adoption.
  • Experience working in regulated industries such as utilities, energy, financial services, healthcare, government, or critical infrastructure.
  • Demonstrated success leading technology modernization, organizational change, and continuous improvement initiatives.
  • Strong understanding of cybersecurity, privacy, risk management, compliance, and enterprise architecture principles.
  • Relevant certifications such as SAFe, Scrum, Microsoft, Azure, GitHub, Power Platform, AI, DevOps, or related credentials.

Additional Information
  • This position's work mode is hybrid. The employee will report to an SCE facility for a set of days with the option to work remotely on the remaining days. Unless otherwise noted, employees are required to work and reside in the state of California. Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs.
  • Visit our Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more!
  • Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
  • The primary work location for this position is Rosemead, CA (GO2). However, the successful candidate may also be asked to work for an extended amount of time at (alternate work location).
  • Position will require up to 10% traveling and being out in the field throughout the SCE service territory.
  • Relocation may apply to this position.

About Southern California Edison
The people at SCE don't just keep the lights on. Our mission is so much bigger. We're fueling the kind of innovation that's changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you'll have a chance to grow personally and professionally, making a real impact in Southern California and around the world.
Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status.
We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at (833) 343-0727.

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