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Gen Ai Developer Jobs in Arizona (NOW HIRING)

Gen Digital Inc

Senior Product Manager

Tempe, AZ · On-site

$140K - $160K/yr

About Gen: Gen is a global company dedicated to powering Digital Freedom through its trusted ... We're always looking for smart, fearless and high-impact talent who see AI as a teammate ...

American Express

Director - Technologies

Phoenix, AZ · On-site

$144K - $256K/yr

Define and implement standardized patterns for Gen AI, AI/ML, AI OPS use cases across the public ... Experience with DevOps practices and methodologies, including CI/CD pipelines, configuration ...

AVG

Security Controls Engineer

Tempe, AZ · On-site

About Gen: Gen is a global company dedicated to powering Digital Freedom through its trusted ... We're always looking for smart, fearless and high-impact talent who see AI as a teammate ...

Deloitte

Finance Analytics & AI Manager

Tempe, AZ · On-site

By leveraging next-gen processes, scalable data platforms, and AI, our team delivers accurate ... Bachelor's degree in a science, technology, engineering, or mathematics field from an accredited ...

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$17

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$94

How much do gen ai developer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for gen 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 is a Gen AI developer?

A Gen AI Developer is a professional who designs, builds, and deploys applications using generative artificial intelligence models, such as large language models (LLMs) or image generators. They work with AI frameworks and APIs to create solutions that can generate text, images, code, or other content based on user input. Gen AI Developers often need skills in programming, machine learning, and prompt engineering, and they play a key role in building innovative AI-powered applications across various industries.

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

To thrive as a Gen AI Developer, you need a strong background in computer science, machine learning, and deep learning frameworks, often supported by a degree in a related field. Proficiency with tools such as Python, TensorFlow or PyTorch, and experience with cloud platforms like AWS or Azure, as well as relevant certifications, are commonly required. Critical thinking, creativity, and effective communication are essential soft skills for solving complex problems and collaborating with cross-functional teams. These competencies are vital for developing innovative AI solutions that drive business value and maintain technological competitiveness.

What are some common challenges Gen AI developers face when deploying models into production environments?

Gen AI Developers often encounter challenges such as ensuring model scalability, maintaining data privacy, and managing high computational requirements when deploying generative AI models. Integrating models with existing systems and monitoring for model drift or bias are also critical concerns. Close collaboration with DevOps, data engineering, and security teams is essential to build robust deployment pipelines and maintain reliable performance in real-world applications.

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

AspectGen Ai DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with AI frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentTech companies, AI startups, research labs focusing on generative AITech firms, data-driven companies, research institutions working on ML models
Employer & Industry UsagePrimarily in AI development, focusing on generative models and AI applicationsBroader industry use, including predictive modeling, data analysis, and automation

While both roles involve AI and machine learning skills, Gen AI Developers specialize in creating generative AI models like chatbots and content generators, whereas Machine Learning Engineers develop a wide range of ML algorithms for various applications. The roles often overlap but differ in focus and project types.

How can I become a Gen AI developer?

To become a Gen AI developer, you should gain strong programming skills in languages like Python, learn machine learning frameworks such as TensorFlow or PyTorch, and develop expertise in natural language processing and large language models. Building a portfolio of AI projects and obtaining relevant certifications can also enhance your qualifications for this role.

Is a Gen AI Developer a promising career?

A Gen AI Developer is a growing role focused on creating and improving generative artificial intelligence systems, often requiring skills in machine learning, deep learning, and programming languages like Python. The demand for such developers is increasing as AI applications expand across industries, making it a promising career with strong job growth prospects.

What are popular job titles related to Gen Ai Developer jobs in Arizona?

For Gen Ai Developer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Gen Ai Developer jobs in Arizona look for?

The top searched job categories for Gen Ai Developer jobs in Arizona are:

What cities in Arizona are hiring for Gen Ai Developer jobs?

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Gen Ai Developer jobs near you
Infographic showing various Gen Ai Developer job openings in Arizona as of September 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 89% In-person, 4% Hybrid, and 7% Remote job distribution, with an average salary of $87,783 per year, or $42.2 per hour.

Cyber Forward Deployed Engineer - Senior Consultant

Gilbert, AZ • On-site

Deloitte
Finance and Insurance • 10K+ employees
Learn more about Deloitteexternal

Full-time

Re-posted 3 days ago

Key responsibilities

  • Drive delivery of cybersecurity and AI-enabled solutions at the intersection of client engagement and hands-on engineering.

  • Translate business and cybersecurity needs into high-quality technical solutions and deploy them for clients.

  • Own overall customer satisfaction by proactively managing expectations, delivery quality, and outcomes.

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

Job description

Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture. 

Recruiting for this role ends on 12/31/2026. 

Work you will do: 

As a Cyber Forward Deployed Engineer (FDE) Sr Consultant, you will drive delivery of cybersecurity and AI-enabled solutions at the intersection of client engagement and hands-on engineering. You will lead teams on delivering high-quality solutions while playing a key role in deal shaping, scaling delivery practices, and enabling long-term client and team capability. 

Solution Delivery & Engineering (Primary Focus) 

  • Translate business and cybersecurity needs into high-quality technical solutions (including AI/GenAI-enabled capabilities where applicable), and deploy them for clients in alignment with their requirements and architecture 
  • Identify, troubleshoot, and resolve technical issues within scope 

Pre-Sales & Deal Shaping 

  • Partner with stakeholders to help shape technical solutions during pursuits, including leading demos/POCs/prototypes 
  • Contribute to solution design, ensuring alignment between client needs and delivery feasibility. 
  • Partner with leadership to influence technical win strategy, including pricing inputs, and effort estimation, ensuring alignment between client needs, feasibility, and commercial viability. 

Customer Delivery Leadership 

  • Own overall customer satisfaction, proactively managing expectations, delivery quality, and outcomes to ensure a strong client experience. 
  • Build and maintain trusted client relationships, addressing escalations effectively and driving continuous improvement based on client feedback. 
  • Ensure delivery aligns with agreed scope, timelines, and cost estimates, proactively managing deviations to protect margins and client outcomes. 
  • Drive delivery efficiency and unit economics by optimizing team structure, utilization, and effort allocation across engagements 

Product Feedback & Continuous Improvement 

  • Capture and translate delivery learnings into actionable product or platform improvements, distinguishing reusable enhancements from client-specific needs. 
  • Enable client teams through structured knowledge transfer, clear documentation, and practical runbooks. 

The Team 

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today. 

Required Qualifications 

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. 
  • Limited immigration sponsorship may be available. 
  • Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve. 

We require5+ years of experiencefor all areas below: 

  • Hands-on experience in full stack development across frontend and backend technologies. 
  • Experience in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js). 
  • Backend experience in Node.js, Python (Django/Flask), or Java (Spring Boot). 
  • Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis). 
  • Experience building and integrating REST APIs, microservices, and serverless architectures. 
  • Experience conducting code reviews and guiding teams on best practices. 
  • Experience delivering and scaling applications on AWS, Azure, or GCP. 
  • Experience with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps). 

We require1+ years of experiencefor all areas below: 

  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments 
  • 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents 
  • Experience guiding teams on AI architecture, platform selection and integration into production systems. 
  • Experience with scalability, governance, and performance considerations for AI-enabled solutions. 

Client-Facing & Delivery Ownership 

  • 5+ Years experience leading technical solutioning in pursuits, including demos, POCs, and proposal inputs. 
  • 5+ Years experience defining scope, estimating effort, and aligning solutions with delivery feasibility and business goals. 
  • 5+ Years experience working with senior client stakeholders to translate requirements into scalable technical solutions. 
  • 5+ Years experience articulating technical concepts, risks, and trade-offs. 
  • 5+ Years experience demonstrating accountability and ownership mindset in achieving client outcomes. 

Preferred Qualifications 

  • Anthropic experience and/or certification STRONGLY preferred 
  • Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering). 
  • Experience with DevSecOps practices and secure software development lifecycle. 
  • Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j). 
  • Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns. 
  • Cloud certifications (AWS, Azure, GCP). 
  • Basic familiarity with ML frameworks (TensorFlow, PyTorch). 

Compensation 
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 - $265,100. 

#CyberCtBEngg 

Qualifications:

Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture. 

Recruiting for this role ends on 12/31/2026. 

Work you will do: 

As a Cyber Forward Deployed Engineer (FDE) Sr Consultant, you will drive delivery of cybersecurity and AI-enabled solutions at the intersection of client engagement and hands-on engineering. You will lead teams on delivering high-quality solutions while playing a key role in deal shaping, scaling delivery practices, and enabling long-term client and team capability. 

Solution Delivery & Engineering (Primary Focus) 

  • Translate business and cybersecurity needs into high-quality technical solutions (including AI/GenAI-enabled capabilities where applicable), and deploy them for clients in alignment with their requirements and architecture 
  • Identify, troubleshoot, and resolve technical issues within scope 

Pre-Sales & Deal Shaping 

  • Partner with stakeholders to help shape technical solutions during pursuits, including leading demos/POCs/prototypes 
  • Contribute to solution design, ensuring alignment between client needs and delivery feasibility. 
  • Partner with leadership to influence technical win strategy, including pricing inputs, and effort estimation, ensuring alignment between client needs, feasibility, and commercial viability. 

Customer Delivery Leadership 

  • Own overall customer satisfaction, proactively managing expectations, delivery quality, and outcomes to ensure a strong client experience. 
  • Build and maintain trusted client relationships, addressing escalations effectively and driving continuous improvement based on client feedback. 
  • Ensure delivery aligns with agreed scope, timelines, and cost estimates, proactively managing deviations to protect margins and client outcomes. 
  • Drive delivery efficiency and unit economics by optimizing team structure, utilization, and effort allocation across engagements 

Product Feedback & Continuous Improvement 

  • Capture and translate delivery learnings into actionable product or platform improvements, distinguishing reusable enhancements from client-specific needs. 
  • Enable client teams through structured knowledge transfer, clear documentation, and practical runbooks. 

The Team 

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today. 

Required Qualifications 

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. 
  • Limited immigration sponsorship may be available. 
  • Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve. 

We require5+ years of experiencefor all areas below: 

  • Hands-on experience in full stack development across frontend and backend technologies. 
  • Experience in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js). 
  • Backend experience in Node.js, Python (Django/Flask), or Java (Spring Boot). 
  • Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis). 
  • Experience building and integrating REST APIs, microservices, and serverless architectures. 
  • Experience conducting code reviews and guiding teams on best practices. 
  • Experience delivering and scaling applications on AWS, Azure, or GCP. 
  • Experience with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps). 

We require1+ years of experiencefor all areas below: 

  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments 
  • 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents 
  • Experience guiding teams on AI architecture, platform selection and integration into production systems. 
  • Experience with scalability, governance, and performance considerations for AI-enabled solutions. 

Client-Facing & Delivery Ownership 

  • 5+ Years experience leading technical solutioning in pursuits, including demos, POCs, and proposal inputs. 
  • 5+ Years experience defining scope, estimating effort, and aligning solutions with delivery feasibility and business goals. 
  • 5+ Years experience working with senior client stakeholders to translate requirements into scalable technical solutions. 
  • 5+ Years experience articulating technical concepts, risks, and trade-offs. 
  • 5+ Years experience demonstrating accountability and ownership mindset in achieving client outcomes. 

Preferred Qualifications 

  • Anthropic experience and/or certification STRONGLY preferred 
  • Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering). 
  • Experience with DevSecOps practices and secure software development lifecycle. 
  • Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j). 
  • Knowledge of Kubernetes, GitOps, or advanced cloud-na...

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