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Generative Ai Project Manager Jobs in Arizona (NOW HIRING)

Donato Technologies Inc

AI Architect

Phoenix, AZ · On-site

Generative AI / LLMs (OpenAI, Azure OpenAI, etc.) * Expertise in application architecture and ... Excellent communication and stakeholder management * Leadership experience in guiding cross ...

New

Tata Consultancy Service Limited

AI Engineer

Phoenix, AZ · On-site

$110K - $125K/yr

... projects The AI Business Engineer is a thinker and a hands-on innovator. The ideal candidate is a ... Generative AI. • Drive discovery sprints and AI ideation efforts • Stay abreast of broad AI ...

Lorven Technologies

Sr Software Engineer

Phoenix, AZ · On-site

$119K - $157K/yr

Generative AI, LLMs, prompt engineering, and RAG concepts . * AI-assisted software development ... Will Collaborates with leaders, business analysts, project managers, IT architects, technical leads ...

SSOE, Inc.

Project Manager

Phoenix, AZ · On-site

$115K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Why Project Managers Thrive at SSOE * Lead projects from strategy and planning through ... AI and Innovation At SSOE, we don't just talk about the future, we build it. As a leader in ...

Aikitech, Inc.

Software Architect

Tempe, AZ · On-site

... through Generative AI technologies. They are seeking a dynamic Software Architect to lead the ... teams and projects, demonstrating strong organizational and planning skills. • Excellent ...

Rubin Obs

Principal AI Engineer

Tucson, AZ · On-site

$179 - $226/hr

... generative AI, foundation models, LLMs, AI agents, and advanced machine learning approaches. * Develop governance frameworks, model evaluation processes, and lifecycle management practices that ...

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Generative Ai Project Manager information

What are some unique challenges faced by generative AI project managers when overseeing cross-functional teams?

Generative AI Project Managers often encounter the challenge of bridging knowledge gaps between technical AI specialists, such as data scientists and engineers, and non-technical stakeholders, like product managers or business leaders. Coordinating clear communication and aligning project goals requires balancing rapid technological changes with business requirements, all while ensuring ethical and responsible AI development. Additionally, managing timelines can be complex due to the experimental nature of generative AI projects, which may involve iterative prototyping and unexpected roadblocks. Building trust and facilitating collaboration across diverse teams is key to project success.

What is the difference between Generative Ai Project Manager vs Data Scientist?

AspectGenerative Ai Project ManagerData Scientist
Required CredentialsProject management certifications, AI knowledgeDegree in Data Science, Computer Science, or related fields
Work EnvironmentCross-functional teams, project planningData analysis, model development
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, research institutions, analytics companies

While both roles involve AI, the Generative Ai Project Manager oversees AI projects, coordinating teams and timelines, whereas the Data Scientist focuses on analyzing data and building models. The project manager ensures project delivery, while the data scientist develops the AI models used within projects.

What does a generative AI project manager do?

A Generative AI Project Manager oversees projects that involve the development and implementation of generative artificial intelligence solutions. Their responsibilities include coordinating teams of data scientists, engineers, and designers, managing project timelines and budgets, and ensuring that deliverables meet business objectives. They also facilitate communication between technical and non-technical stakeholders to ensure alignment and project success. Additionally, they stay updated on advances in AI technology to guide project direction and innovation.

What are the key skills and qualifications needed to thrive as a generative AI project manager?

To thrive as a Generative AI Project Manager, you need a solid understanding of AI/machine learning concepts, project management methodologies, and a relevant degree (such as computer science or engineering). Familiarity with tools like Jira, Agile frameworks, and AI platforms (e.g., TensorFlow, PyTorch) as well as certifications like PMP or Agile Scrum Master are highly beneficial. Strong leadership, communication, and problem-solving skills set outstanding candidates apart by enabling them to bridge technical and non-technical teams. These abilities are crucial for delivering AI projects on time, ensuring alignment with business goals, and adapting to rapidly evolving technology landscapes.

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What job categories do people searching Generative Ai Project Manager jobs in Arizona look for?

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What cities in Arizona are hiring for Generative Ai Project Manager jobs?

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Generative Ai Project Manager jobs near you
Infographic showing various Generative Ai Project Manager job openings in Arizona as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

AI Architect

Donato Technologies Inc

Phoenix, AZ • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Technical Skills

  • Hands-on experience with:
    • AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn)
    • Generative AI / LLMs (OpenAI, Azure OpenAI, etc.)
  • Expertise in application architecture and system design
  • Experience in:
    • Cloud platforms (Azure/AWS/Google Cloud Platform)
    • REST APIs, microservices, and distributed systems
  • Knowledge of data engineering, APIs, and system integration

AI-Specific Skills

  • Understanding of AI pipelines, model deployment, and monitoring
  • Ability to evaluate and apply AI tools in application development lifecycle

Technical Leadership

  • Collaborate with product, data, and business teams to translate requirements into solutions
  • Drive adoption of AI-enabled development tools and frameworks
  • Provide training to the team for using AI Capabilities

Soft Skills

  • Strong problem-solving and analytical thinking
  • Excellent communication and stakeholder management
  • Leadership experience in guiding cross-functional teams

Preferred Qualifications

  • Experience implementing AI in enterprise applications
  • Exposure to DevOps / MLOps practices
  • Knowledge of Responsible AI and governance principles
  • Prior experience in a technical lead or architect role

Apply