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Artificial Intelligence Jobs (NOW HIRING)

Intern , Artificial Intelligence

Melbourne, FL ยท On-site +1

$22.50 - $41/hr

Intern,Artificial Intelligence Job Code: 43406 Job Location:Melbourne, FL or Rochester, NY Job Schedule: 9/80:Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other ...

Intern , Artificial Intelligence

Rochester, NY ยท On-site +1

$22.50 - $41/hr

Intern,Artificial Intelligence Job Code: 43406 Job Location:Melbourne, FL or Rochester, NY Job Schedule: 9/80:Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other ...

NJ ยท On-site

$65K - $68K/yr

Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of ...

Artificial Intelligence Engineer

Bellevue, WA ยท On-site

$129K - $155K/yr

Job Title: Artificial Intelligence Engineer Job Location: Bellevue - Washington Job Type: Contract * Lead the development and deployment of machine learning models and analytical solutions for ...

Artificial Intelligence Intern

Atlanta, GA ยท On-site

$14.25 - $19/hr

Job Title Artificial Intelligence Intern Employment Type Temporary Work Authorization Requirements Must be authorized to work in the United States Language Requirements English About PRGX PRGX is the ...

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Artificial Intelligence information

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$11K

$102.9K

$133K

How much do artificial intelligence jobs pay per year?

As of Sep 7, 2026, the average yearly pay for artificial intelligence in the United States is $102,938.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $132,500.00 per year, depending on experience, location, and employer.

What is the job outlook for careers in artificial intelligence?

The job outlook for careers in artificial intelligence is excellent. Over the next few decades, AI is expected to grow explosively as it becomes capable of accomplishing more tasks. With this growth comes the need for information technology experts to determine how and where to implement artificial intelligence at various companies. The United States Bureau of Labor Statistics expects computer occupations to increase by about 13% between 2016 and 2026. This is almost twice the average growth rate for all trades. Not all of these jobs involve artificial intelligence, but many of them do, and that number should increase over time.

What are some common challenges faced by professionals working in artificial intelligence roles, and how can they be addressed?

Professionals in Artificial Intelligence often face challenges such as keeping up with rapidly evolving technologies, managing large and complex datasets, and ensuring the ethical use of AI systems. Collaboration with data engineers, domain experts, and ethicists is crucial to overcome these hurdles. Continuous learning through courses, workshops, and industry conferences helps AI specialists stay updated, while strong communication skills aid in translating technical findings for stakeholders and integrating AI solutions effectively into business processes.

What is the difference between Artificial Intelligence vs Data Scientist?

AspectArtificial IntelligenceData Scientist
Required CredentialsTypically degrees in Computer Science, AI, or related fields; certifications in machine learning or AI toolsDegrees in Statistics, Computer Science, or related fields; certifications in data analysis or machine learning
Work EnvironmentResearch labs, tech companies, AI startups, often focused on developing algorithms and modelsBusiness environments, analytics firms, tech companies, focusing on data analysis and insights
Employer & Industry UsageUsed across tech, healthcare, finance, and automotive industries for developing intelligent systemsUsed in finance, marketing, healthcare, and tech for data analysis, predictive modeling, and decision support

Artificial Intelligence professionals focus on creating intelligent systems and algorithms, while Data Scientists analyze data to extract insights. Both roles require strong technical skills, but AI emphasizes developing models, whereas Data Scientists focus on interpreting data to inform decisions.

What is an entry-level job in artificial intelligence?

An entry-level job in artificial intelligence typically involves roles such as AI analyst, data analyst, or junior machine learning engineer. These positions often require foundational knowledge of programming languages like Python, basic understanding of machine learning concepts, and sometimes a relevant degree or certification. They provide opportunities to gain practical experience and develop skills in AI development and data analysis.

What cities are hiring for Artificial Intelligence jobs?

Cities with the most Artificial Intelligence job openings:

What are the most commonly searched types of Artificial Intelligence jobs?

The most popular types of Artificial Intelligence jobs are:

What states have the most Artificial Intelligence jobs?

States with the most job openings for Artificial Intelligence jobs include:

Infographic showing various Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 6% Internship, 79% Full Time, 6% Part Time, and 9% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $102,938 per year, or $49.5 per hour.

Artificial Intelligence Architect

Long Finch Technologies

Saint Peters, MO โ€ข On-site

Full-time

Posted 9 days ago


Job description

NEED ONLY USC/GC. CAN WORK FROM ANY NEARBY OFFICE. NO NEED TO RELOCATE TO A DIFFERENT PLACE

WE ARE LOOKING FOR ARCHITECT FOR THIS POSITION NOT DEVELOPER.

Artificial Intelligence Architect

Java 21+, Spring Boot, Spring AI
Microservices, event-driven architecture (Kafka, SQS/SNS)
REST/GraphQL API design, gRPC
Design patterns, Enterprise architecture and scaling
AI / ML Integration
Experience with Agentic AI / multi-agent frameworks at enterprise scale.
LLM integration via Anthropic Claude API, OpenAI, or AWS Bedrock
RAG architectures, vector databases (OpenSearch, Pinecone, pgvector)
Model serving, inference optimization, prompt engineering
Spring AI, Langgraph, Google ADK, A2A, MCP.
Prompt Engineering, prompt caching, Token optimization.
AWS