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Generative Ai Developer Jobs in Arizona (NOW HIRING)

Agentic DevOps Lead

Scottsdale, AZ · On-site

$70K - $205K/yr

This role is pivotal in scaling our Generative AI agentic solutions across diverse cloud environments. You will architect and operationalize a reusable, portable Agentic DevOps framework that ensures ...

This role spans applied AI (including generative AI and LLM-based systems), production-grade machine learning engineering, data science and advanced analytics. The AI Engineer partners with Product ...

This role spans applied AI (including generative AI and LLM-based systems), production-grade machine learning engineering, data science and advanced analytics. The AI Engineer partners with Product ...

GEN AI Engineer II

Phoenix, AZ

$114K - $137K/yr

Bachelors or higher degree in Data Science, Computer Science, Information Systems, Engineering or related field Hands-on experience in building and deploying AI/ML models, focusing on Generative AI ...

This role spans applied AI (including generative AI and LLM-based systems), production-grade machine learning engineering, data science and advanced analytics. The AI Engineer partners with Product ...

... on Generative AI. Deep understanding of NLP, deep learning, and data analysis techniques ... Strong programming skills in Python, along with experience in data manipulation libraries (e.g ...

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design ... Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model ...

Data Engineer AI

Phoenix, AZ · On-site +1

$113K - $136K/yr

Develop the data pipelines required for Generative AI, including the automated extraction, chunking ... Work as a dedicated engineering partner to MLOps and Data Science teams to rapidly iterate on data ...

Role Summary Develop, implement, and scale machine learning and generative AI solutions that deliver measurable business outcomes. This role blends strong software engineering expertise with hands-on ...

Java FSD with AI

Phoenix, AZ · On-site

$50.75 - $65.50/hr

Deep knowledge of Java 17/21, Spring Boot, Maven/Gradle, and JPA/Hibernate. 3. Generative AI: Hands-on experience with LLMs (e.g., GPT-4), prompt engineering techniques, and frameworks like ...

AI ML Engineer with LLM & AWS Integration

Tempe, AZ · On-site

$101K - $136K/yr

... LLMs and generative AI. • Experience with developing and deploying AI Agents for business ... prompt engineering strategies to improve model performance and relevance. • Experience in ...

Data Fabric Architect

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Role: Data Fabric Architect - Generative AI / RAG / Microsoft Fabric Location: Phoenix, AZ ... Proficiency in Python, SQL, and data engineering tools for building and optimizing data pipelines

Large Language Models (LLMs) and generative AI, Prompt engineering, fine-tuning, and RAG pipelines. Embeddings, vector databases, and semantic search. * Programming & Software Engineering: Strong ...

Sr. Advanced AI Software Engineer

Phoenix, AZ · On-site

$115K - $152K/yr

Design, build, and deploy advanced AI/ML systems (including LLMs and generative AI) end to end ... Programming & Software Engineering: Strong proficiency in Python (primary AI development language ...

Sr. Advanced AI Software Engineer

Phoenix, AZ · On-site

$121K - $160K/yr

Large Language Models (LLMs) and generative AI, Prompt engineering, fine-tuning, and RAG pipelines. Embeddings, vector databases, and semantic search. * Programming & Software Engineering: Strong ...

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Generative Ai Developer information

See Arizona salary details

$17

$42

$94

How much do generative ai developer jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for generative ai developer in Arizona is $42.20, according to ZipRecruiter salary data. Most workers in this role earn between $21.97 and $51.06 per hour, depending on experience, location, and employer.

What are some common challenges faced by Generative AI Developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

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

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

Is generative AI a good career?

Generative AI is a growing field with increasing demand for developers skilled in machine learning, deep learning, and neural networks. Careers in this area often require knowledge of programming languages like Python and familiarity with AI frameworks such as TensorFlow or PyTorch, offering opportunities in technology, research, and industry applications.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

What is the salary of a generative AI developer?

The salary of a generative AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with expertise in deep learning frameworks and large language models can earn higher compensation, often exceeding $180,000. Many positions also offer benefits such as bonuses, stock options, and flexible schedules.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence development, such as a senior Generative AI Developer or AI research lead, often involving advanced skills in machine learning, deep learning, and large language models. These roles usually require extensive experience, specialized knowledge, and may include responsibilities like designing AI systems, managing teams, or overseeing AI strategy in organizations with competitive compensation packages. Such salaries are rare and generally found in top tech companies or specialized AI firms.

What is a Generative AI Developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

Which 3 jobs will survive AI?

For a Generative AI Developer, roles that require complex human judgment, creativity, and emotional intelligence are likely to persist, such as AI ethics specialists, creative professionals, and strategic consultants. These jobs involve nuanced decision-making and interpersonal skills that AI cannot fully replicate. Continuous learning and expertise in AI tools and programming languages will also help ensure job security in this field.
What are popular job titles related to Generative Ai Developer jobs in Arizona? For Generative Ai Developer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Generative Ai Developer jobs in Arizona look for? The top searched job categories for Generative Ai Developer jobs in Arizona are:
What cities in Arizona are hiring for Generative Ai Developer jobs? Cities in Arizona with the most Generative Ai Developer job openings:
Infographic showing various Generative Ai Developer job openings in Arizona as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 65% Physical, 5% Hybrid, and 30% Remote job distribution, with an average salary of $87,783 per year, or $42.2 per hour.
Agentic DevOps Lead

Agentic DevOps Lead

Accenture

Scottsdale, AZ • On-site

$70K - $205K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

46th of 428 rated business services


Job description

We Are

The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI - backed by a $3B investment and commitment to our people to do industry-defining work.

With over 45,000 professionals dedicated to Data & AI, Accenture's Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are

As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions. You will be responsible for developing and implementing cutting-edge artificial intelligence solutions that drive innovation and enhance performance. You will collaborate with cross-functional teams and leverage your expertise in machine learning, deep learning, and data analysis to solve complex problems and deliver impactful AI-driven solutions.

The Work

We are seeking an experienced Agentic DevOps Lead to lead our Agentic DevOps initiatives. This role is pivotal in scaling our Generative AI agentic solutions across diverse cloud environments. You will architect and operationalize a reusable, portable Agentic DevOps framework that ensures production readiness, observability, and deployment efficiency for agentic applications.

You will lead a team of reinventors-engineers, architects, and DevOps specialists-focused on delivering industry-leading agentic systems that are robust, scalable, and client-ready.

Key Responsibilities

  • Lead Agentic DevOps Strategy: Define and implement scalable DevOps frameworks for agentic systems using LangGraph, Crew AI, Autogen, and other orchestration tools.

  • Framework Development: Build reusable scaffolding for agent lifecycle management, orchestration, monitoring, and metering.

  • Cloud-Native Deployment: Architect and manage CI/CD pipelines for public and private cloud environments (AWS, Azure, GCP).

  • Production Readiness: Ensure agentic applications meet enterprise-grade standards for security, reliability, and compliance.

  • Team Leadership: Mentor and manage cross-functional teams across DevOps, AI engineering, and client enablement.

  • Client Enablement: Collaborate with solution architects to tailor deployments for client environments and ensure seamless onboarding.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here's what you need

  • Minimum of 8 years in technical leadership roles, including DevOps, AI/ML, or cloud-native engineering.

  • Minimum of 3 years of python experience.

  • Minimum of 1 year of proven experience with LLMs, agentic frameworks (E.g. LangGraph, Crew AI, Autogen), prompt engineering

  • Minimum of 6 years of Hands-on expertise in CI/CD, containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform).

  • Minimum of 6 years' experience in architecting solutions on Azure.

  • Minimum of 1 year of Experience deploying and monitoring Generative AI systems in production.

  • Minimum of 1 year of experience with RAG, LLM fine-tuning, and multi-agent orchestration.

  • Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience

Bonus points if you have

  • Exposure to enterprise data integration (e.g., SAP, SharePoint).

  • Certifications in cloud architecture (AWS, Azure, GCP, Oracle) or AI/ML.

  • Cloud engineering on AWS and GCP preferred.

  • Strong understanding of cloud security, observability, and cost optimization strategies.

  • Prior experience in life sciences, fintech, or regulated industries is a plus.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 06/05/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture

Role Location Annual Salary Range

California $70,350 to $205,800

Cleveland $59,100 to $164,600

Colorado $63,800 to $177,800

District of Columbia $68,000 to $189,300

Illinois $59,100 to $177,800

Maryland $63,800 to $177,800

Massachusetts $63,800 to $189,300

Minnesota $63,800 to $177,800

New York $66,300 to $205,800

New Jersey $68,000 to $205,800

Washington $80,200 to $189,300

About Accenture

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities.Read more here

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us anemailor speak with your recruiter.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity Statement

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, pleaseclick herefor additional important information.

Please read Accenture'sRecruiting and Hiring Statementfor more information on how we process your data during the Recruiting and Hiring process.


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