ZipRecruiter

Log In

1

Generative Ai Project Manager Jobs in Arizona (NOW HIRING)

Mondo

Data Scientist II

Phoenix, AZ · On-site

$140K - $150K/yr

Data Scientist II, Generative AI Location/Type: Onsite, Phoenix, AZ - Must currently permanently ... project that codes and classifies waste profiles using customer and waste data * Manage and ...

McCarthy Holdings, Inc.

AI Engineer II

Phoenix, AZ

$88K - $121K/yr

Working closely with the AI Manager, business stakeholders, and fellow engineers, you will contribute to the development of production-grade AI solutions, including generative AI, agentic workflows ...

McCarthy Holdings, Inc.

AI Engineer II

Phoenix, AZ · On-site

$88K - $121K/yr

Working closely with the AI Manager, business stakeholders, and fellow engineers, you will contribute to the development of production-grade AI solutions, including generative AI, agentic workflows ...

Relativity

Software Engineer

Phoenix, AZ · On-site

... generative AI products. These systems enable secure and scalable access to foundation models across ... Contribute to building systems that route and manage AI traffic efficiently while maintaining ...

Pwc

AI Engineer

Phoenix, AZ · On-site

$50K - $112K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... As an Associate, you will focus on learning and contributing to projects while developing your ...

Insight

Demonstrated experience with Generative AI and Large Language Models (LLMs), with direct expertise ... Project Management: Strong organizational skills with the ability to manage multiple priorities in ...

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 ...

E-Solutions

Microsoft 365 Administrator

Phoenix, AZ · On-site

Manage copilot security, authentication, and environment configurations Generative AI & Automation * Leverage Generative AI models within Microsoft Copilot Studio and Azure OpenAI (where applicable)

previous page

Showing results 41-60

All JobsGenerative Ai Project JobsGenerative Ai Project Manager JobsGenerative Ai Project Manager Jobs in Arizona

Generative Ai Project Manager information

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.

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 are popular job titles related to Generative Ai Project Manager jobs in Arizona?

For Generative Ai Project Manager jobs in Arizona, the most frequently searched job titles are:

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

The top searched job categories for Generative Ai Project Manager jobs in Arizona are:

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

Cities in Arizona with the most Generative Ai Project Manager job openings:

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.

Data Scientist II

Mondo

Phoenix, AZ • On-site

$140K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Job description

Job Title: Data Scientist II, Generative AI

Location/Type: Onsite, Phoenix, AZ - Must currently permanently reside in AZ. This position cannot offer relocation at this time

Start Date: ASAP

Duration: Perm

Compensation Range: $140k-$150k/yr Benefits: Eligible for Health, Dental, Vision, 401K, PTO Must be authorized to work in the U.S. This position is not eligible for sponsorship .

Job Description: This role owns generative AI and data science initiatives end to end within the environmental services space, from rapid prototyping through production deployment. The right person can move fluidly between experimenting with new AI ideas, building out an engineering focused waste classification project, and maintaining a live RAG system with multiple production APIs.

Day to Day Responsibilities:

  • Design, build, and deploy generative AI, RAG, and machine learning solutions that directly impact business outcomes
  • Rapidly prototype new AI use cases, including writing Python scripts that stand up vector databases and integrate LLMs
  • Take LLM applications from concept through production deployment
  • Perform ongoing model changes, prompt updates, and end to end pipeline checks
  • Build and maintain an engineering project that codes and classifies waste profiles using customer and waste data
  • Manage and maintain a RAG system supporting five production APIs
  • Partner with a full stack development team on production deployments
  • Monitor solution performance in production, resolving issues such as model drift, hallucination, and retrieval quality
  • Translate ambiguous business problems into scoped, production ready analytical approaches
  • Communicate insights, tradeoffs, and recommendations to both technical and non technical stakeholders
  • Document solution design, assumptions, and limitations to support reuse and transparency
  • Mentor other data scientists and technical team members on modeling and architecture approaches

Minimum Requirements:

  • 3 plus years of experience in a generative AI or applied AI focused role, not traditional data science
  • Strong hands on RAG experience, including rapid prototyping, vector database setup, and LLM integration
  • Ability to clearly explain vector embeddings and cosine similarity
  • Experience building LLM applications from concept to production
  • AWS experience, specifically deploying applications to EC2 or building CI/CD pipelines
  • Advanced Python and SQL skills, including a strong understanding of window functions
  • Bachelors degree in an analytical field such as Computer Science, Mathematics, Statistics, or Engineering

Preferred Qualifications:

  • Experience with prompt engineering and specific challenges faced applying it
  • Familiarity with API testing, git version control, and GitHub Actions
  • Experience monitoring AI application performance in production
  • Familiarity with AI based coding assistants such as GitHub CoPilot, Cursor, or Claude Code
  • Working knowledge of ML Ops tools and experiment tracking frameworks
  • Masters degree