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Generative Ai Project Manager Jobs in Arizona (NOW HIRING)

AI Solution Architect

Tempe, AZ · On-site

$60.25 - $79.50/hr

... management, enterprise integration, governance, and organizational transformation. Key Responsibilities AI Architecture & Solution Design * Architect enterprise-scale Agentic and Generative AI ...

Senior AI / Data Science Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

Lead development of advanced AI, Machine Learning, and Generative AI solutions that address ... Experience leading cross-functional technical projects and driving business impact through data ...

Ability to lead projects or workstreams * Ability to manage and prioritize multiple tasks in a fast ... We are advancing both predictive and generative AI technologies while maintaining a commitment to ...

Java AI Developer

Phoenix, AZ · On-site

$50.25 - $65/hr

... Generative AI (GenAI) technologies. The ideal candidate must possess strong expertise in Java ... Collaborate with Product Managers, Architects, and Data Science teams to deliver AI-driven business ...

Required : • 5+ years of experience in program or project management, management consulting ... deploying generative AI tools in a business context -- including prompt engineering, workflow ...

AI Architect

Phoenix, AZ · On-site

$62.50 - $82.50/hr

Strong experience with Generative AI / LLMs , including OpenAI, Azure OpenAI, or similar ... Excellent communication and stakeholder management skills. * Experience providing technical ...

New

AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) Generative AI / LLMs (OpenAI, Azure OpenAI ... stakeholder management Leadership experience in guiding cross-functional teams Preferred ...

New

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 ...

Showing results 21-40

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.

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:

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.

Senior .NET Applications Developer (AI & Cloud)

SunSoft Online

Phoenix, AZ • Hybrid

$52 - $63/hr

Full-time, Contractor

Posted 21 days ago


Job description

Senior .NET Applications Developer (AI & Cloud)

Location: Phoenix, AZ (Hybrid – 1600 W. Monroe, Phoenix, AZ 85007)

Job Type: Contract / Staff Augmentation (Full-Time, 40 hrs/week)

Contract Duration: 1+ Year (Projected Start: August 31, 2026)

Schedule: Monday – Friday, 8:00 AM – 5:00 PM

Employer: SunSoftOnline

Position Overview

SunSoftOnline is seeking a high-performing Senior .NET Applications Developer to join our team on a long-term contract engagement in Phoenix, AZ supporting state agency systems.

This role operates on a hybrid schedule and requires a senior engineer who combines deep expertise in C#, .NET, and cloud services with modern AI-assisted engineering skills. You will design, build, and maintain enterprise software while integrating cutting-edge Generative AI features (AWS Bedrock, Anthropic Claude) into application workflows using tools like GitHub Copilot.

Key Responsibilities
  • Enterprise .NET Development: Architect, code, test, and deploy robust web and enterprise applications using C#, ASP.NET, JavaScript, and REST APIs.

  • Generative AI Feature Engineering: Programmatically build and integrate enterprise application features utilizing AWS Bedrock and Anthropic Claude.

  • AI-Assisted Coding: Leverage modern developer tooling (GitHub Copilot, VS Code AI extensions) to accelerate software delivery and code quality.

  • DevOps & ALM: Manage code repositories, automated builds, and deployment pipelines within Azure DevOps / TFS.

  • Database & Architecture: Design clean backend services, optimize data access layers, and enforce modern architectural patterns.

  • Collaborative Delivery: Partner with system architects, project managers, and business analysts to translate complex business logic into high-performing software.

Qualifications & Requirements
Required Qualifications:
  • Programming Experience: Minimum of 8+ years of professional software engineering experience, with at least 3+ years dedicated strictly to enterprise application development.

  • Core Tech Stack: Strong mastery of C#, .NET, ASP.NET, JavaScript, RESTful APIs, and MS Visual Studio.

  • AI & LLM Integration (1–2 Years): Direct professional experience integrating AI models programmatically (AWS Bedrock, Anthropic Claude) and using AI coding assistants (GitHub Copilot, VS Code AI extensions).

  • DevOps: Hands-on experience with Azure DevOps and/or Team Foundation Server (TFS).

  • Productivity Tools: Proficient with MS Office (Word, Excel, Outlook) and Google Suite (Gmail, Docs, Sheets, Drive).

Preferred Qualifications:
  • Bachelor’s Degree in Computer Science, Software Engineering, or a closely related technical discipline.

Mandatory Submission Requirements

Candidates submitting through SunSoftOnline must provide:

  1. Updated Resume (must explicitly state current location in the Phoenix metro area)

  2. Right to Represent (R2R)

  3. Confirmation of Hybrid Work Capability (1600 W. Monroe, Phoenix, AZ)

Security & Onboarding: Candidates must pass standard security background checks prior to start.