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Ai Technology Jobs (NOW HIRING)

AI Technology Lead

OR · On-site +1

$202K - $225K/yr

It drives the exploration, experimentation, and rapid prototyping of emerging AI technologies, tools, and implementation patterns, while influencing the company's broader AI direction through ...

Drive exploration of emerging AI technologies, tools, and patterns to assess their applicability across enterprise and product scenarios * Lead experimentation and rapid prototyping to validate new ...

AI Technology Integrator Location: Chantilly, VA (on-site client environment) Clearance: TS/SCI with polygraph Compensation: Competitive, Excellent Benefits Only applicants with the active required ...

AI Tech Support

Lehi, UT · On-site

$70K - $100K/yr

The Role We're hiring an AI Tech Support to help our customers successfully adopt and operate Broccoli in their day-to-day business. This is a highly technical, customer-facing role for someone who ...

AI Technology Integrator Location: Chantilly, VA (on-site client environment) Clearance: TS/SCI with polygraph Compensation: Competitive, Excellent Benefits Only applicants with the active required ...

AI Tech Lead Location: USA Remote Contract W2 Candidates need the below experience: * Experience integrating GCP AI Services into Web Applications. Primarily using GCP ADK, Vertex, Gemini Enterprise ...

RIT Solutions, Inc. is seeking an AI Tech Lead who will be responsible for translating AI architecture into detailed design and successful delivery. The role involves leading the implementation of AI ...

They are in search of a highly motivated candidate to join their talented Team as an AI Technology Lead, focusing on delivering large-scale AI projects and leading AI implementations in enterprise ...

Geni AI Tech Work Location: Westlake, TX Duration: Long Term * Design and develop GenAI models, including fine-tuning large language models (e.g., GPT, LLaMA, Claude). * Lead the evaluation and ...

AI Tech Artist

Los Angeles, CA · On-site

$136K - $163K/yr

Magnopus is looking for an AI Tech Artist to build, optimize and support the generative AI workflows used by artists on a major new project.. As a spatial design and innovation company, we work at ...

AI Tech Artist

Los Angeles, CA

$136K - $163K/yr

Magnopus is looking for an AI Tech Artist to build, optimize and support the generative AI workflows used by artists on a major new project.. As a spatial design and innovation company, we work at ...

AI Technology Integrator

Chantilly, VA · On-site

$120 - $170/hr

Currently we have an immediate need to add an experienced AI Technology Integrator . Location: Chantilly, VA (on-site client environment) Clearance: TS/SCI with polygraph Compensation: Competitive ...

AI Tech Lead Location: Owings Mills, MD (Onsite) Employment Type: Full-Time Visa Type: Not Specified Must-Have Qualifications: * 10-15 years of overall experience in AI, Data Engineering, or Software ...

Sr AI & Technology Auditor

Houston, TX · On-site

$97K - $127K/yr

As a Sr AI & Technology Auditor, you will provide independent assurance over the company's AI control environment, with a specific focus on Generative and Agentic AI systems used across our retail ...

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Ai Technology information

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How much do ai technology jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for ai technology in the United States is $32.88, according to ZipRecruiter salary data. Most workers in this role earn between $25.24 and $38.46 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI technology specialist?

To thrive as an AI Technology Specialist, you need strong skills in computer science, mathematics, and machine learning, typically supported by a degree in a related field. Familiarity with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and experience with data processing tools are essential. Effective problem-solving, adaptability, and communication skills help you collaborate and innovate in multidisciplinary teams. These competencies enable you to develop, implement, and optimize AI solutions that drive organizational success.

What are some typical challenges faced when working in AI technology roles, and how can they be managed?

Professionals in AI technology often encounter challenges such as managing large datasets, ensuring model accuracy, and addressing ethical considerations around AI deployment. Collaborating closely with data engineers, domain experts, and stakeholders helps in refining data quality and aligning AI solutions with business needs. Staying current with evolving AI frameworks and best practices, as well as participating in cross-functional team discussions, can help address technical and ethical hurdles effectively.

What is the difference between Ai Technology vs Data Scientist?

AspectAi TechnologyData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; certifications in AI toolsDegree in Data Science, Statistics, or related fields; certifications in data analysis
Work EnvironmentTech companies, AI research labs, development teamsBusiness analytics, research, and data-driven departments
Employer & Industry UsageAI product development, automation, machine learning applicationsData analysis, predictive modeling, insights generation

Ai Technology professionals focus on developing and implementing AI systems and algorithms, often working on software and hardware integration. Data Scientists analyze data to extract insights, build models, and support decision-making. While both roles require technical skills and overlap in machine learning knowledge, Ai Technology roles are more centered on creating AI solutions, whereas Data Scientists focus on interpreting data and building predictive models.

What are AI technology jobs?

AI technology jobs involve developing, implementing, and maintaining artificial intelligence systems and algorithms. Common roles include AI engineers, data scientists, machine learning engineers, and research scientists, often requiring skills in programming, mathematics, and data analysis. These jobs are typically found in tech companies, research institutions, and industries adopting AI solutions.

What jobs can you get in AI technology?

Jobs in AI technology include roles such as AI engineer, machine learning engineer, data scientist, NLP engineer, and AI research scientist. These positions typically require skills in programming, data analysis, and understanding of algorithms, with familiarity in tools like Python, TensorFlow, or PyTorch.
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What cities are hiring for Ai Technology jobs?

Cities with the most Ai Technology job openings:

What states have the most Ai Technology jobs?

States with the most job openings for Ai Technology jobs include:

Infographic showing various Ai Technology job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $68,400 per year, or $32.9 per hour.

AI Technology Lead

Elite Technology

OR • On-site, Remote

$202K - $225K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 17 days ago


Job description

Position Overview

This role is designed for an AI-fluent individual contributor who helps shape how Elite identifies, evaluates, and applies AI across both enterprise functions and product. The position partners closely with leaders and delivery teams to guide ideation around AI and agentic automation use cases, helping teams move from opportunity framing to practical implementation paths. 

The position combines hands-on technical depth with strong strategic judgment. It drives the exploration, experimentation, and rapid prototyping of emerging AI technologies, tools, and implementation patterns, while influencing the company's broader AI direction through practical insight and demonstrated results. Rather than owning large-scale delivery directly, this role accelerates learning, informs decision-making, and helps establish scalable approaches that teams can adopt across the organization. 

Work Arrangement: Remote 

This role requires the individual to be based in Flexible across U.S. time zonestime zone. 

Responsibilities  

  • Guide business, product, and technology teams through ideation for AI and agentic automation opportunities, helping frame use cases, value hypotheses, feasibility, and implementation approaches
  • Drive exploration of emerging AI technologies, tools, and patterns to assess their applicability across enterprise and product scenarios
  • Lead experimentation and rapid prototyping to validate new ideas, reduce uncertainty, and accelerate learning before broader investment or delivery
  • Develop proof-of-concepts and reference implementations that demonstrate practical approaches for AI-enabled workflows, copilots, and agentic automation
  • Influence enterprise and product AI strategy by surfacing insights from experimentation, identifying patterns, and recommending high-value opportunities and technology directions
  • Partner with product, engineering, architecture, and business stakeholders to translate promising ideas into scalable implementation plans and adoption paths
  • Help define practical standards, reusable patterns, and guardrails for responsible AI and agentic solution design
  • Act as a trusted internal advisor on AI trends, tradeoffs, and emerging capabilities, bringing a pragmatic perspective grounded in hands-on experience
  • Build organizational confidence and fluency in AI by helping teams understand what is possible, what is practical, and how to move forward effectively
  • Reduce fragmentation by standardizing AI tools and approaches across teams while enabling innovation where it drives value
  • Contribute thought leadership that strengthens Elite's long-term AI vision while balancing innovation, practicality, security, and business value
  • Perform other duties as assigned to support departmental and company objectives. 

Qualifications:  

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field, or an equivalent combination of education and hands-on experience
  • 9+ years strong experience in AI/ML, software engineering, data platforms, solution architecture, or related technical roles, with demonstrated hands-on work in modern AI technologies
  • Hands-on experience with Generative AI, including large language models, prompt engineering, retrieval patterns, orchestration frameworks, and AI-enabled workflow automation
  • Demonstrated ability to explore new technologies quickly, build prototypes, and turn ambiguous ideas into practical recommendations and next steps
  • Experience guiding cross-functional teams through technical discovery, use case shaping, experimentation, and early implementation planning
  • Strong understanding of emerging AI patterns such as copilots, multi-step orchestration, agentic workflows, evaluation approaches, and human-in-the-loop design
  • Ability to influence senior stakeholders and strategy through clear communication, credible technical judgment, and practical insight
  • Experience balancing innovation with responsible AI considerations, including data governance, security, compliance, and operational practicality
  • Ability to travel up 10-25% as business needs require
  • Role requires the following physical capacity: Sedentary: primarily desk/computer work 
  • Must be legally authorized to work in United States; Elite does not provide employment sponsorship for this position 

Benefits:

  • Competitive Compensation Package ($202,500-$225,000 base salary + variable component)
  • Comprehensive Healthcare Coverage (Health, Dental, Vision)
  • Retirement Savings Plan with an Employer Contribution
  • Professional Development Opportunities
  • Time Off
  • Wellness Initiatives
  • Employee Assistance Program
  • Generous Global Parental Leave
  • Calm, free premium subscription
  • Employee Discount Program

Elite may use technology, including artificial intelligence-enabled tools, to assist in aspects of the recruiting and employment process. These tools are used to support, but not replace, human decision-making.