ZipRecruiter

Log In

2

Remote Generative Ai Jobs in Arizona (NOW HIRING)

Aprio

Senior AI Product Associate, IT

Phoenix, AZ · On-site +1

$104K - $160K/yr

Apply generative-AI capabilities relevant to professional services - LLMs, document intelligence ... remote and hybrid options What's in it for you: - Working with an industry leader : Be part of a ...

Insight

This is a remote work opportunity Insight at a Glance * 14,000+ engaged teammates globally * $8.2 ... Demonstrated experience with Generative AI and Large Language Models (LLMs), with direct expertise ...

Symmetry

$14.75 - $19.75/hr

Proficiency with generative AI * Video editing skills * Experience with motion graphics or ... Remote Duration: 10-12 weeks (Summer 2025)

Symmetry

$14.25 - $19/hr

Proficiency with generative AI * Video editing skills * Experience with motion graphics or ... Remote Duration: 10-12 weeks (Summer 2025)

Symmetry

$15 - $20/hr

Proficiency with generative AI * Video editing skills * Experience with motion graphics or ... Remote Duration: 10-12 weeks (Summer 2025)

Symmetry

$15 - $20.25/hr

Proficiency with generative AI * Video editing skills * Experience with motion graphics or ... Remote Duration: 10-12 weeks (Summer 2025)

Symmetry

$15 - $19.75/hr

Proficiency with generative AI * Video editing skills * Experience with motion graphics or ... Remote Duration: 10-12 weeks (Summer 2025)

Symmetry

$15 - $19.75/hr

Proficiency with generative AI * Video editing skills * Experience with motion graphics or ... Remote Duration: 10-12 weeks (Summer 2025)

Accenture

SAP Solution Architect - Mid Market

Scottsdale, AZ · Remote

$82.75 - $111.50/hr

Remote We Are: Accenture's Commercial Client Success organization helps clients realize measurable ... Knowledge of SAP Joule, SAP AI Foundation, Machine Learning, Generative AI, Agile, and DevOps. * ...

Posted today

Insight

You will have the flexibility to work fully remote from anywhere across Arizona. Insight at a ... Core Competencies Area Focus Generative AI Deep understanding of LLMs, Prompt Engineering, RAG ...

Sonatafy Technology

Principal Engineer

Phoenix, AZ · On-site +1

Guide the adoption of emerging technologies, including Generative AI Development Toolchains, LLMs ... We offer competitive compensation, a remote-first lifestyle, and career growth opportunities across ...

next page

Showing results 1-20

All JobsGenerative Ai JobsRemote Generative Ai JobsRemote Generative Ai Jobs in Arizona

Remote Generative Ai information

What are some common challenges faced by Remote Generative AI professionals and how can they be addressed?

Remote Generative AI professionals often face challenges such as collaborating effectively across time zones, ensuring data security, and staying updated with rapidly evolving AI technologies. To overcome these, it's important to establish clear communication channels, utilize version control and collaboration tools, and participate in regular team meetings. Additionally, investing time in continuous learning through online courses and AI research communities can help professionals stay current with industry advancements.

What are the key skills and qualifications needed to thrive as a Remote Generative AI Specialist, and why are they important?

To thrive as a Remote Generative AI Specialist, you need strong expertise in machine learning, deep learning, and programming languages like Python, often supported by a degree in computer science or a related field. Proficiency with frameworks such as TensorFlow or PyTorch, cloud platforms, and relevant certifications (e.g., Google Cloud ML Engineer) is highly beneficial. Effective problem-solving, self-motivation, and clear communication are crucial for collaborating remotely and driving innovative AI solutions. These skills ensure you can develop, deploy, and improve generative AI models efficiently in distributed work environments.

Is generative AI a good career?

A career in generative AI offers opportunities in developing and deploying AI models, requiring skills in machine learning, programming, and data analysis. The field is growing rapidly with high demand for expertise, making it a promising option for those interested in AI technology and innovation.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in deep learning, data science, and programming. These positions usually involve leadership responsibilities, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact. Such roles are rare and generally found in large tech companies or specialized AI firms.

Which 3 jobs will survive AI?

For a Remote Generative AI role, jobs that require complex human judgment, creativity, and emotional intelligence are likely to persist, such as AI ethics specialists, creative content creators, and AI trainers or annotators. These roles involve nuanced decision-making, understanding context, and overseeing AI outputs, which are difficult to fully automate. Skills in critical thinking, domain expertise, and collaboration will remain valuable in AI-related fields.

What is the difference between Remote Generative Ai vs Data Scientist?

AspectRemote Generative AiData Scientist
Required CredentialsKnowledge of AI/ML, programming skills, familiarity with NLP and deep learningStatistics, programming, data analysis, often a degree in CS, stats, or related fields
Work EnvironmentRemote, collaborative teams, AI research labs, tech companiesRemote or on-site, data analysis teams, research or business units
Industry UsageDeveloping AI models, creating generative content, NLP applicationsAnalyzing data, building predictive models, informing business decisions

Remote Generative Ai specialists focus on creating AI models that generate content, requiring expertise in AI/ML and programming. Data Scientists analyze data to extract insights and build models, often with similar technical backgrounds. While both roles may work remotely and in tech industries, their core functions differ: one develops generative AI systems, the other interprets data for strategic insights.

Can you work in AI remotely?

Remote Generative AI roles are common in the industry, allowing professionals to work from various locations. These jobs typically require strong skills in machine learning, programming, and familiarity with AI tools, and often involve collaboration through online platforms. Many companies offer flexible schedules and remote work arrangements for AI specialists.

What is a Remote Generative AI job?

A Remote Generative AI job involves working with artificial intelligence systems that can create new content, such as text, images, or music, from data. These roles are performed remotely, allowing professionals to work from anywhere while developing, training, and deploying generative models like GPT or DALL-E. Job responsibilities may include data preparation, model training, evaluation, and integrating generative AI solutions into products or services. Professionals in this field often collaborate with teams online using cloud-based tools and communication platforms.
What are the most commonly searched types of Generative Ai jobs in Arizona? The most popular types of Generative Ai jobs in Arizona are:
What are popular job titles related to Remote Generative Ai jobs in Arizona? For Remote Generative Ai jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Generative Ai jobs in Arizona look for? The top searched job categories for Remote Generative Ai jobs in Arizona are:
What cities in Arizona are hiring for Remote Generative Ai jobs? Cities in Arizona with the most Remote Generative Ai job openings:
Remote Generative Ai jobs near you
Infographic showing various Remote Generative Ai job openings in Arizona as of July 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% Remote job distribution.

Senior AI Engineer / Data Scientist

Koantek

Chandler, AZ • Remote

Contractor

Re-posted 6 days ago

Job description

Senior AI Engineer / Data Scientist (Consulting) Location: United States (Remote) Employment Type: Full-Time / Contract Experience Level: Senior About the Role: We are seeking an experienced, highly technical Senior AI Engineer / Data Scientist to join our customer-facing consulting team. This remote role requires a unique blend of advanced Machine Learning (ML) expertise, deep knowledge of MLOps principles, and a proven track record in client-facing implementation. You will design, deploy, and maintain production-grade ML solutions, including advanced Generative AI and NLP models, for our diverse client base.

Key Responsibilities: * Technical Consulting: Lead end-to-end ML implementations directly with clients, translating business problems into robust technical solutions. * MLOps and Pipelines: Design, build, and maintain production-grade ML pipelines with a strong focus on CI/CD, automation, and scalability. * GenAI and NLP Deployment: Implement and optimize cutting-edge Generative AI applications (such as LLMs and RAG) in live production settings.

* Infrastructure and Data Scale: Manage underlying infrastructure using Docker, pipeline orchestrators, and distributed computing frameworks like Apache Spark. * Stakeholder Management: Clearly communicate technical findings, proposals, and project status to both technical and non-technical audiences. Required Qualifications: * 4+ years of professional experience developing, deploying, and maintaining ML models in a live production environment (Mandatory).

* 3+ years of experience in a customer-facing consulting or Solutions Architect role. * Strong expertise in the MLOps lifecycle (model versioning, testing, monitoring, and automated deployment). * Solid hands-on experience with containerization (Docker) and data pipeline orchestration.

* Proven track record of deploying Generative AI and NLP solutions for client applications. * Excellent verbal and written communication skills. Preferred Qualifications: * Hands-on experience with modern ML platform stacks, specifically Databricks MLOps Stacks.

* Deep knowledge of large-scale data processing and distributed machine learning techniques. * A strong commitment to continuous learning in emerging ML fields and GenAI application architectures.

Apply