AI Security Engineer Manager
Tempe, AZ · On-site
... Engineering ... This role involves securing the development and deployment of AI/ML and Generative AI solutions ...
AI Security Engineer Manager
Tempe, AZ · On-site
... Engineering ... This role involves securing the development and deployment of AI/ML and Generative AI solutions ...
Gen AI/ML engineer
Phoenix, AZ · On-site
... 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 ...
Gen AI/ML engineer
Phoenix, AZ · On-site
... 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 ...
Agentic AI, AI & Data Science Engineer
$109K - $131K/yr
Amazon Q Business & Q Developer (enterprise AI assistant and code generation capabilities); Cognito ... 1 year focused on Generative AI, Agentic AI or multi-agent systems * 2+ years of hands-on ...
Agentic AI, AI & Data Science Engineer
$109K - $131K/yr
Amazon Q Business & Q Developer (enterprise AI assistant and code generation capabilities); Cognito ... 1 year focused on Generative AI, Agentic AI or multi-agent systems * 2+ years of hands-on ...
Oracle Gen AI Manager
Tempe, AZ · On-site
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 ...
Oracle Gen AI Manager
Tempe, AZ · On-site
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 ...
AWS AI Platform Engineer
Phoenix, AZ · On-site
... Generative AI solutions using AWS native AI services. Responsibilities : • Lead onboarding of ... Required : • 10-15 years of experience in Cloud Engineering, Platform Engineering, or Enterprise ...
AWS AI Platform Engineer
Phoenix, AZ · On-site
... Generative AI solutions using AWS native AI services. Responsibilities : • Lead onboarding of ... Required : • 10-15 years of experience in Cloud Engineering, Platform Engineering, or Enterprise ...
AI Engineer
Phoenix, AZ · On-site
$60 - $67/hr
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 ...
AI Engineer
Phoenix, AZ · On-site
$60 - $67/hr
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 ...
... Generative AI security. Security and Technical Experience * Experience building automation tooling for security or developer efficiency. * Proficiency in at least one scripting language (Python ...
New
... Generative AI security. Security and Technical Experience * Experience building automation tooling for security or developer efficiency. * Proficiency in at least one scripting language (Python ...
New
Advanced proficiency in Infrastructure as Code (IaC) using Terraform or AWS CloudFormation , paired with experience utilizing Generative AI developer tools (e.g., Amazon Q , Amazon Bedrock , or AI ...
Advanced proficiency in Infrastructure as Code (IaC) using Terraform or AWS CloudFormation , paired with experience utilizing Generative AI developer tools (e.g., Amazon Q , Amazon Bedrock , or AI ...
Advanced proficiency in Infrastructure as Code (IaC) using Terraform or AWS CloudFormation , paired with experience utilizing Generative AI developer tools (e.g., Amazon Q , Amazon Bedrock , or AI ...
Advanced proficiency in Infrastructure as Code (IaC) using Terraform or AWS CloudFormation , paired with experience utilizing Generative AI developer tools (e.g., Amazon Q , Amazon Bedrock , or AI ...
Salesforce Engineer
Phoenix, AZ · On-site
$55 - $73/hr
Generative AI / Copilot * MuleSoft or other middleware * JavaScript, HTML, CSS Preferred ... Salesforce Platform Developer I/II * Salesforce JavaScript Developer I
Salesforce Engineer
Phoenix, AZ · On-site
$55 - $73/hr
Generative AI / Copilot * MuleSoft or other middleware * JavaScript, HTML, CSS Preferred ... Salesforce Platform Developer I/II * Salesforce JavaScript Developer I
The engineer will focus on implementing algorithms related to neural networks, pattern recognition ... Hands-on experience designing and deploying Generative AI Applications using LLM frameworks (e.g.
Quick apply
The engineer will focus on implementing algorithms related to neural networks, pattern recognition ... Hands-on experience designing and deploying Generative AI Applications using LLM frameworks (e.g.
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 ...
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 ...
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
$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
$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 ...
Sr. Advanced AI Software Engineer
$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 ...
... generative AI , and agentbased architectures ; lead POCs , Vibe Coding , and SpectoCode demonstrations . * Transform SDLC AIDLC ; unlock gains in speed, quality, resilience, and developer joy. * Join ...
... generative AI , and agentbased architectures ; lead POCs , Vibe Coding , and SpectoCode demonstrations . * Transform SDLC AIDLC ; unlock gains in speed, quality, resilience, and developer joy. * Join ...
As a Manager in AI Security Engineering, you will play a critical role in securing the development and deployment of AI/ML and Generative AI solutions. You will operate hands-on across high ...
As a Manager in AI Security Engineering, you will play a critical role in securing the development and deployment of AI/ML and Generative AI solutions. You will operate hands-on across high ...
AI Security Engineer Manager
Gilbert, AZ · On-site
As a Manager in AI Security Engineering, you will play a critical role in securing the development and deployment of AI/ML and Generative AI solutions. You will operate hands-on across high ...
AI Security Engineer Manager
Gilbert, AZ · On-site
As a Manager in AI Security Engineering, you will play a critical role in securing the development and deployment of AI/ML and Generative AI solutions. You will operate hands-on across high ...
... generative AI , and agent-based architectures ; lead POCs , Vibe Coding , and Spec-to-Code demonstrations . * Transform SDLC → AI-DLC ; unlock gains in speed, quality, resilience, and developer joy.
... generative AI , and agent-based architectures ; lead POCs , Vibe Coding , and Spec-to-Code demonstrations . * Transform SDLC → AI-DLC ; unlock gains in speed, quality, resilience, and developer joy.
Design and develop AI/ML and Generative AI solutions * Build rapid POCs and prototypes , and scale them to production * Work with: * LLMs * Agentic AI systems * RAG architecture * Prompt engineering ...
Design and develop AI/ML and Generative AI solutions * Build rapid POCs and prototypes , and scale them to production * Work with: * LLMs * Agentic AI systems * RAG architecture * Prompt engineering ...
Design and develop AI/ML and Generative AI solutions * Build rapid POCs and prototypes , and scale them to production * Work with: * LLMs * Agentic AI systems * RAG architecture * Prompt engineering ...
Design and develop AI/ML and Generative AI solutions * Build rapid POCs and prototypes , and scale them to production * Work with: * LLMs * Agentic AI systems * RAG architecture * Prompt engineering ...
Generative Ai Developer information
See Arizona salary details
$21.72 is the 25th percentile. Wages below this are outliers.
$17.70 - $24.64
43% of jobs
$24.64 - $31.59
0% of jobs
$31.59 - $38.53
0% of jobs
The median wage is $41.19 / hr.
$38.53 - $45.47
18% of jobs
$49.66 is the 75th percentile. Wages above this are outliers.
$45.47 - $52.42
23% of jobs
$52.42 - $59.36
7% of jobs
$59.36 - $66.31
4% of jobs
$66.31 - $73.25
0% of jobs
$73.25 - $80.20
0% of jobs
$80.20 - $87.14
2% of jobs
$87.14 - $94.08
2% of jobs
$17
$42
$94
How much do generative ai developer jobs pay per hour?
As of Jul 16, 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 rapidly growing field with high demand for skilled developers who can create and optimize AI models using tools like deep learning frameworks. Careers in this area often require knowledge of machine learning, programming, and data handling, offering opportunities in tech companies, research, and startups. The field provides competitive salaries and continuous learning opportunities due to its evolving nature.
What is the difference between Generative Ai Developer vs Machine Learning Engineer?
| Aspect | Generative Ai Developer | Machine Learning Engineer |
|---|---|---|
| Credentials | Bachelor's or higher in CS, AI, or related fields; experience with deep learning frameworks | Bachelor's or higher in CS, Data Science, or related fields; strong programming skills |
| Work Environment | Develops AI models for content creation, chatbots, and creative applications | Builds and deploys ML models for various data-driven solutions across industries |
| Industry Usage | Tech, entertainment, marketing, and creative sectors | Finance, 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 set. Senior developers with expertise in machine learning frameworks and deep learning may earn higher compensation, especially in tech hubs or companies with advanced AI projects.
What does a generative AI developer do?
A generative AI developer designs and builds algorithms that enable machines to create content such as text, images, or audio. They work with machine learning frameworks, train models on large datasets, and optimize algorithms for performance and accuracy, often using tools like Python and TensorFlow or PyTorch.
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 common in top tech companies or specialized AI firms for highly skilled professionals.
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.
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:
Deloitte rating
8.1
Based on 90 frontline employees who took The Breakroom Quiz
59th of 148 rated financial services
Job description
Job Summary:
Deloitte is a leading professional services firm, and they are seeking a Manager in AI Security Engineering. This role involves securing the development and deployment of AI/ML and Generative AI solutions while leading teams to ensure that AI systems meet enterprise security, risk, and compliance expectations.
Responsibilities:
• Design and deliver AI-enabled solutions that are secure by design, balancing business value with risk mitigation. Solve complex problems while ensuring protection of data, models, and systems.
• Actively contribute to architecture, design, and development of AI/ML and GenAI systems with embedded security controls. Integrate security across the SSDLC, including code reviews, testing, and deployment. In this role you will be responsible for managing AI defensive technologies and the operations of those technologies which will evolve over time.
• Identify and address AI-specific vulnerabilities, including prompt injection, data leakage, model manipulation, and misuse. Implement practical safeguards to ensure system integrity and trustworthiness.
• Serve as a trusted technical voice for secure AI engineering. Ensure solutions are feasible, secure, and aligned with business and customer objectives.
• Maintain high standards for code quality, scalability, and security. Contribute to secure coding practices, reusable patterns, and continuous improvement across engineering teams.
• Support rapid experimentation while applying appropriate security guardrails. Enable teams to innovate safely through controlled, risk-aware development practices.
• Partner closely with product, engineering, cybersecurity, and risk teams to embed AI security into solutions. Balance usability, performance, and security in decision-making.
• Apply and help evolve standards for AI security, including data protection, access control, model validation, and monitoring within DevSecOps and MLOps pipelines.
• Clearly articulate technical risks, trade-offs, and solutions to both technical and non-technical stakeholders. Contribute to alignment and informed decision-making.
Qualifications:
Required:
• Bachelor's degree or equivalent in Computer Science, Computer Engineering, Business Administration
• Minimum 6 years of relevant experience in software engineering, cybersecurity, and/or including AI/ML, with hands-on delivery experience
• Minimum 1 year of people and/or process management experience
Preferred:
• Strong understanding of AI/GenAI technologies and associated security risks (e.g., prompt injection, data exposure, adversarial threats)
• Experience building and securing applications using Python, JavaScript, or similar, along with ML frameworks (e.g., PyTorch, TensorFlow)
• Familiarity with secure development practices (DevSecOps) and integrating security into CI/CD and MLOps pipelines
• Experience with cloud platforms (AWS, Azure, GCP) and cloud-native security principles
• Knowledge of data protection, identity/access management, and secure architecture patterns
• Ability to work across teams, mentor engineers, and contribute to a strong engineering culture
• Strong communication skills with the ability to translate technical concepts into business-relevant insights
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.
Deloitte is a leading professional services firm, and they are seeking a Manager in AI Security Engineering. This role involves securing the development and deployment of AI/ML and Generative AI solutions while leading teams to ensure that AI systems meet enterprise security, risk, and compliance expectations.
Responsibilities:
• Design and deliver AI-enabled solutions that are secure by design, balancing business value with risk mitigation. Solve complex problems while ensuring protection of data, models, and systems.
• Actively contribute to architecture, design, and development of AI/ML and GenAI systems with embedded security controls. Integrate security across the SSDLC, including code reviews, testing, and deployment. In this role you will be responsible for managing AI defensive technologies and the operations of those technologies which will evolve over time.
• Identify and address AI-specific vulnerabilities, including prompt injection, data leakage, model manipulation, and misuse. Implement practical safeguards to ensure system integrity and trustworthiness.
• Serve as a trusted technical voice for secure AI engineering. Ensure solutions are feasible, secure, and aligned with business and customer objectives.
• Maintain high standards for code quality, scalability, and security. Contribute to secure coding practices, reusable patterns, and continuous improvement across engineering teams.
• Support rapid experimentation while applying appropriate security guardrails. Enable teams to innovate safely through controlled, risk-aware development practices.
• Partner closely with product, engineering, cybersecurity, and risk teams to embed AI security into solutions. Balance usability, performance, and security in decision-making.
• Apply and help evolve standards for AI security, including data protection, access control, model validation, and monitoring within DevSecOps and MLOps pipelines.
• Clearly articulate technical risks, trade-offs, and solutions to both technical and non-technical stakeholders. Contribute to alignment and informed decision-making.
Qualifications:
Required:
• Bachelor's degree or equivalent in Computer Science, Computer Engineering, Business Administration
• Minimum 6 years of relevant experience in software engineering, cybersecurity, and/or including AI/ML, with hands-on delivery experience
• Minimum 1 year of people and/or process management experience
Preferred:
• Strong understanding of AI/GenAI technologies and associated security risks (e.g., prompt injection, data exposure, adversarial threats)
• Experience building and securing applications using Python, JavaScript, or similar, along with ML frameworks (e.g., PyTorch, TensorFlow)
• Familiarity with secure development practices (DevSecOps) and integrating security into CI/CD and MLOps pipelines
• Experience with cloud platforms (AWS, Azure, GCP) and cloud-native security principles
• Knowledge of data protection, identity/access management, and secure architecture patterns
• Ability to work across teams, mentor engineers, and contribute to a strong engineering culture
• Strong communication skills with the ability to translate technical concepts into business-relevant insights
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.